Este repositorio es una recopilación de lecturas.
- Lecturas del año 2025
- Lecturas del año 2024
- Lecturas del año 2023
- Lecturas del año 2022
- Lecturas del año 2021
- Lecturas del año 2020
- Lecturas del año 2019
- Historias de la IA: los autómatas #Automatas
- AI Agents vs Agentic AI: What’s the Difference and Why Does It Matter? #Agents #ProyectoNacional2024
- Introducing smolagents, a simple library to build agents #Agents #ProyectoNacional2024
- Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU #VLMs #Finetuning
- Vision Language Models Explained #VLM
- The Rise and Potential of Large Language Model Based Agents: A Survey #Agents #ProyectoNacional2024
- Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools #Pablo #PrevenIA
- BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities #MedicalLLM #ProyectoIA
- Preference Optimization for Vision Language Models with TRL #VLM #Quantization
- Episode 232: Exploring Modern Sentiment Analysis Approaches in Python #SentimentAnalysis #MasterNLP
- Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations #MedicalDatasets #Provenance
- Introduction to Quantization cooked in 🤗 with 💗🧑🍳 #Quantization
- Medical SAM 2: Segment medical images as video via Segment Anything Model 2 #SemanticSegmentation
- OmniAudio-2.6B: World’s Fastest Audio Language Model for Edge Deployment #AudioLanguageModel
- Bamba: Inference-Efficient Hybrid Mamba2 Model 🐍 #Mamba
- Evaluating Audio Reasoning with Big Bench Audio #Audio
- Visualize and understand GPU memory in PyTorch #GPU #Master
- Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage #ImageCaptioning #Agents
- Scaling test-time compute with open models #TestTimeCompute
- Finally, a Replacement for BERT #ModernBERT #Encoder
- Controlling Language Model Generation with NVIDIA’s LogitsProcessorZoo #LLMs #Generation
- How to fine-tune open LLMs in 2025 with Hugging Face #LLMs #FineTuning
- Fastcore Transform x QuantumFastcore Transform x Quantum #Cuantica
- The State of Digital Accessibility #Accesibility #Mirari
- FACTS Grounding: A new benchmark for evaluating the factuality of large language models #Factuality
- Agentic RAG: turbocharge your RAG with query reformulation and self-query! 🚀 #RAG #Agents #ProyectoIA
- Multimodal RAG with ColQwen2, Reranker, and Quantized VLMs on Consumer GPUs #VisualLanguageModels #RAG
- A real-time platform for Spanish Sign Language interpretation #LenguaSignos #Manu #Mirari
- How to Fine-tune PaliGemma 2 #VLM #LORA #FineTuning
- Open Preference Dataset for Text-to-Image Generation by the 🤗 Community #ImageDataset #ImageGeneration
- Introducing Gemini 2.0: our new AI model for the agentic era #Agents
- The Shift from Models to Compound AI Systems #Nacional2024 #Agents
- Welcome PaliGemma 2 – New vision language models by Google #VisualLanguageModels
- Structured outputs #Ollama #JSON
- Efficient Track Anything Model #Tracking #Maria
- Investing in Performance: Fine-tune small models with LLM insights - a CFM case study #NER #Annotation
- Rethinking LLM Evaluation with 3C3H: AraGen Benchmark and Leaderboard #LLMs #Evaluation #Judges
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once #SemanticSegmentation #ImageParsing
- The path forward for large language models in medicine is open #LLMs #ProyectoNacional2024
- Create a Swarm of Agents #Agents
- Society of Medical Simplifiers #Agents #TextSimplification #Leo
- SmolVLM - small yet mighty Vision Language Model #VisualLanguageModel #ProyectoIA
- Presidio: Data Protection and De-identification SDK #Anonimización #Mirari #ProyectoSara
- Day 3 - Building an agent with LangGraph #Agents #ProyectoIA
- Agents #Agents #ProyectoIA
- LightRAG: Simple and Fast Retrieval-Augmented Generation for Legal Doc Analysis #GraphLLM #Retrieval #RAG
- Presentamos las soluciones de MediaPipe para el aprendizaje automático integrado en el dispositivo #MediaPipe #LSEAvatar
- Llama 3.2 Vision #Ollama #LVM #ProyectoIA
- Understanding Multimodal LLMs #MultiModalLLM #ProyectoIA
- Multimodal RAG Patterns Every AI Developer Should Know #MultiModal #RAG #ProyectoIA
- Lectura Fácil: Procesos y entornos de una nueva modalidad de traducción #LecturaFacil #Mirari #PlenaInclusion
- How I finally got agentic RAG to work right #Agents #RAG #ProyectoIA
- What is Agentic RAG #Agents #RAG #ProyectoIA
- Introducing SymptomCheck Bench #Evaluation #Agent
- Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation #SAM #SemiSupervised #Adrian
- Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation #SAM #SemiSupervised #Adrian
- RAG vs. Long-Context Models. Do we still need RAG? #RAG
- Creating a LLM-as-a-Judge That Drives Business Results #LLMJudge #Evaluation #Pablo
- distilabel: Synthesize data for AI and add feedback on the fly! #DataSynthesis #Pablo
- Universal Assisted Generation: Faster Decoding with Any Assistant Model #LLMs #Decoding
- Decoding Strategies in Large Language Models #LLMs #Decoding
- Expert Support case study: Bolstering a RAG app with LLM-as-a-Judge #Evaluation #LLMJudge #Pablo
- Aria: An Open Multimodal Native Mixture-of-Experts Model #MultiModal #ProyectoIA
- AnimateDiff morphing transition video (ComfyUI) #Morphing
- MedINST: Meta Dataset of Biomedical Instructions #MedicalLLM #ProyectoIA
- Ollama Tool support #Tools #Agents
- LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations #Hallucinations
- O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out #ObjectDetection #UnknownObjects #IterativeLearning
- CinePile 2.0 - making stronger datasets with adversarial refinement #VideoQA
- Introducing SynthID Text #Watermarking #FakeDetection
- Agents Recipes #Agents #ProyectoIA
- stylo: R package for stylometric analyses #stylometric #Mapi
- Multimodal Retrieval-Augmented Generation (RAG) with Document Retrieval (ColPali) and Vision Language Models (VLMs) #MultiModalRAG #VLMs
- EriBERTa A Bilingual Pre-Trained Language Model for Clinical Natural Language Processing #MedicalLLM #ProyectoIA
- MedEmbed: Fine-Tuned Embedding Models for Medical / Clinical IR #Embedding #MedicalData #SyntheticData
- How to build a custom text classifier without days of human labeling #TextClassification #DataLabelling #MasterNLP
- How To T̶r̶a̶i̶n̶ Synthesize Your D̶r̶a̶g̶o̶n̶ Data #SyntheticData #Mirari #PlenaInclusion
- Red Teaming Visual Language Models #RedTeaming #Pablo #VLM
- LLM Evaluation Guidebook #LLMEvaluation #Pablo
- LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA #LongContext #RAG twitter
- 🍓 Ichigo: Llama Learns to Talk #MultiModal
- The LLM Evaluation guidebook ⚖️ #Evaluation #Pablo
- Lets use error annotations to evaluate systems! #Evaluation #Pablo
- Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection #OpenSet #ObjectDetection
- Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks #OpenSet #SemanticSegmentation
- ACDC: Automated Creation of Digital Cousins for Robust Policy Learning #DigitalCousins
- Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods #SelfSupervisedLearning #AnomalyDetection #Joaquin #ProyectoADER
- ARIA : An Open Multimodal Native Mixture-of-Experts Model #Multimodal #MOE #VLM
- A Visual Guide to Mixture of Experts #LLMs #MOE
- Qwen2-VL #VLM
- LLaVA-Critic: Learning to Evaluate Multimodal Models #LLMAsaJudge #Multimodal
- Sign Language Processing #LSEAvatar
- Educational resources on LLMs #LLMs #Course
- PaliGemma: A versatile 3B VLM for transfer #VLM
- BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging #Agents #Bioimage
- Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine #Maria #IVF #TimeLapse
- Automated Measurements of Key Morphological Features of Human Embryos for IVF #Maria #IVF
- How to Fine-Tune Multimodal Models or VLMs with Hugging Face TRL #Accesibilidad #VLMs
- Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think #DepthEstimation #DiffusionModels
- A framework for human evaluation of large language models in healthcare derived from literature review #LLM #HumanEvaluation #Healthcare #ProyectoIA
- First Attempt to an Automatic Adaptation of Explanatory Structures in Spanish to Easy-to-Read #Easy2Read #PlenaInclusion #Mirari
- Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs #MedicalLLMs #FineTuning #Prompting
- Evaluating Large Language Models with Tests of Spanish as a Foreign Language: Pass or Fail? #ProyectoSara #SpanishEvaluation
- Spanish and LLM Benchmarks: is MMLU Lost in Translation? #MachineTranslation #Limitations #ProyectoSara
- Boosting Healthcare LLMs Through Retrieved Context #MedicalLLMs #ProyectoIA
- Reliable, fully local RAG agents with LLaMA3.2-3b #RAG #Pablo #langgraph
- Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI #CIAIS
- Llama 3.2: Revolutionizing edge AI and vision with open, customizable models #LLM #VLM
- YouTube Health en España conecta a las personas con fuentes sanitarias autorizadas #ProyectoIA
- EuroLLM: Multilingual Language Models for Europe #LLMs #Multilingual
- Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation #RAG #Pablo #Evaluation
- Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse #RAG #Pablo #Evaluation
- FineVideo: behind the scenes #Video #DatasetConstruction
- NoticIA: A Clickbait Article Summarization Dataset in Spanish #TeAhorroUnClick
- Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning #FineTuning
- Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition #Adapters #CatastrophicForgetting #ASR
- Adaptación de ASR al habla de personas con síndrome de Down #ASR #Mirari #Accesibilidad
- Generating a dataset of queries for training and fine-tuning ColPali models on a UFO dataset #VLM #ProyectoIA #MultiModalRAG
- WordLlama #Embeddings #NLP #Pablo
- HEAL: A framework for health equity assessment of machine learning performance #Ethics #Evaluation
- Introducing the SQL Console on Datasets
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval #RAG #LongContext
- Introducing Community Tools
- A Ranking & Evaluation Framework For LLM Hallucinations #Pablo #RAG #LLMs
- rerankers: A Lightweight Python Library to Unify Ranking Methods #Pablo #Reranking #RAG
- MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications #ProyectoIA #LLMs #Evaluation
- The Opportunities and Risks of Large Language Models in Mental Health #Pablo #MentalHealth #Chatbot
- 4 principles to guide AI in supporting mental health #Pablo #MentalHealth #Chatbot
- Grounding LLM statistics facts using Retrieval Interleaved Generation (RIG) #RIG #Provenance
- Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification #TextSimplification #Explainability
- Self-supervised approach for diabetic retinopathy severity detection using vision transformer #SelfSupervisedLearning #OPTRetina
- Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming #OmniModels
- InstanSeg #Bioimage #Segmentation
- pixtral-12b-240910 #VLA
- Large language models in the clinic: AI enters the physician-patient mix #ProyectoIA
- LLaMA-Omni: Seamless Speech Interaction with Large Language Models #OmniModels
- A Few Open Problems in Neural Theorem Proving #TheoremProving #Lean
- YOLOv8: How to Train for Object Detection on a Custom Dataset #ObjectDetection
- Cuando la IA generativa incrementa la desigualdad: evidencia experimental de una competición de debates universitarios #ChatGPT #CIAIS
- A Logic for Veracity: Development and Implementation #Coq #Provenance
- Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling #Bruno #Histopathology #SyntheticImages
- Entrada en vigor de la Ley Europea de Inteligencia Artificial #CIAIS
- Smol Vision 🐣 #ComputerVision #Optimisation #SmallModels
- A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies #Bruno #ActiveLearning #Pathology
- Selective fine-tuning of Language Models with Spectrum #FineTuning #LLMs #Selective
- TRL - Transformer Reinforcement Learning #ReinforcementLearning
- Towards Safe Large Language Models for Medicine #LLM #Pablo
- Welcome to the Hugging Face Audio course! #Audio #Mirari
- Transcribe a meeting #Diarization #Mirari
- Red-Teaming Language Models with DSPy #RedTeaming #DSPY #ProgrammingPromptEngineering
- Synthetic data: save money, time and carbon with open source #SyntheticData #Mapi
- Cosmopedia: how to create large-scale synthetic data for pre-training #SyntheticData
- Image Similarity with Hugging Face Datasets and Transformers #ImageRetrieval
- TB-OCR: an end-to-end OCR model handling text, math latex, and markdown formats all at once #OCR
- Image retrieval app using Apple’s 4M-21 any-to-any vision model #imageretrieval #multimodality
- Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge) #llm #Evaluation #pablo
- Why Tabular Foundation Models Should Be a Research Priority #FoundationModels #TabularData
- The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm #Multilingual #RedTeaming #HarmReduction
- Direct Preference Optimization (DPO) for LLM Alignment (From Scratch) #LLMs #Alignment #DPO
- From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models #ToxicityDetection #Multilingual
- GPT-4o System Card #modelcard #redteaming #seguridad
- xGen-MM (BLIP-3): A Family of Open Large Multimodal Models #LMM #proyectoIA
- Small but Mighty: Introducing answerai-colbert-small #InformationRetrieval #Rerankers #Pablo
- Instead of restricting AI and algorithms, make them explainable #CIAIS #Explicabilidad
- How Fireworks evaluates quantization precisely and interpretably #Quantization #Evaluation
- A Visual Guide to Mamba and State Space Models #Mamba #Architecture
- A Visual Guide to Quantization #Quantization
- Qwen2-Audio: Chat with Your Voice! #Audio #Mirari
- Adapting diffusion models #DiffusionModels #Personalization
- Why I bet on DSPy #promptoptimization
- DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search #TheoremProving #lean #ReinforcementLearning
- What are the risks from Artificial Intelligence? #CIAIS #Ética #Riesgos
- Building and better understanding vision-language models: insights and future directions #VLM #ProyectoIA
- Tool Use, Unified #LLM #ProyectoIA
- The 5 Most Under-Rated Tools on Hugging Face #HuggingFace #Clases
- Monocular depth estimation #DepthEstimation
- Image, text to text #VisualLanguageModels #ProyectoIA
- Exploring Large Language Models to generate Easy to Read content #Easy2Read #Mirari #PlenaInclusion
- Improving Automatic VQA Evaluation Using Large Language Models #leo #prevenia #Pablo #metrics #Alignment
- Introducing SAM 2: The next generation of Meta Segment Anything Model for videos and images #segmentation #videos
- SmolLM - blazingly fast and remarkably powerful #SmallLanguageModels
- Cada vez más personas usan chatbots de inteligencia artificial para problemas de salud mental #Pablo #PrevenIA
- DSPy: Programming with Foundation Models #LanguageModels
- YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus #LSEAvatar
- How we leveraged distilabel to create an Argilla 2.0 Chatbot #Chatbot #Fine-Tuning #Pablo #PrevenIA
- What do we need to build explainable AI systems for the medical domain? #Explainability
- Preference Optimization for Vision Language Models with TRL #VLM #ProyectoIA
- How NuminaMath Won the 1st AIMO Progress Prize #Mathematics #LLMs
- Experimenting with Automatic PII Detection on the Hub using Presidio #CIAIS #PersonallyIdentifyingInformation
- Ollama: Get up and running with large language models. #LLMs #Inference
- Preference Optimization for Vision Language Models with TRL #ProyectoIA #VisualLanguageModels
- Building a framework for fake news detection in the health domain #MedicalFactChecking #Leo
- Extrinsic Hallucinations in LLMs #Hallucinations #LLMs
- Advanced deep learning and large language models for suicide ideation detection on social media #SuicideIdeation #PrevenIA #Pablo
- What Goes Around Comes Around… And Around… #Databases
- LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control #LSEAvatar #CopiaExpresiones
- Requisitos para el uso de la Lengua de Signos Española en redes informáticas #LSEAvatar #TecnologiasAccesibles
- guías para elaborar materiales educativos accesibles #TecnologiasAccesibles
- Guía 6. Vídeos accesibles con subtitulado, audiodescripción y lengua de signos #LSEAvatar #TecnologiasAccesibles
- Faster RAG #RAG #Pablo
- DETRs Beat YOLOs on Real-time Object Detection #ObjectDetection #RealTime
- Fine-tune Embedding models for Retrieval Augmented Generation (RAG) #Pablo #RAG #PrevenIA
- La importancia de la lengua de signos en terapia: sesiones más didácticas, más fluidas y más completas #LSEAvatar #TecnologiasAccesibles
- multimodal AI. open-source. in a nutshell. #MultiModal #ProyectoIA
- Supercharging RAG with Generative Feedback Loops from Weaviate #RAG
- Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks #VisionLanguageModel #ProyectoIA
- Unity + Python Google MediaPipe Avatar #LSEAvatar
- PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals #Pablo #Chatbots #PrevenIA
- Unity + Python Google MediaPipe Avatar #LSEAvatar #ProyectoIndra
- Spreadthesign #LSEAvatar #ProyectoIndra
- Unianimate #LSEAvatar #ProyectoIndra
- An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization #Dataset #Maria Enlace
- Streaming #Pablo #Prevenia
- Hello Qwen2 #LLM #Pablo #Prevenia
- Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models #TextClassification #Leo
- https://github.com/huggingface/optimum-nvidia #Pablo #LLM #Optimization
- An Empathic GPT-Based Chatbot to Talk About Mental Disorders With Spanish Teenagers #Pablo #Estancia
- https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1 #Datasets
- Production-Ready LLM Twin Course #LanguageModels #Pablo
- Fine-tune PaliGemma for image to JSON use cases #VisualLanguageModels #ProyectoIA
- RE-Adapt: Reverse Engineered Adaptation of Large Language Models #InstructionTuning
- GPU Poor Savior: Revolutionizing Low-Bit Open Source LLMs and Cost-Effective Edge Computing #LanguageModels #Quantization #FineTuning
- Falcon 2: An 11B parameter pretrained language model and VLM, trained on over 5000B tokens and 11 languages #LanguageModel #VisualLanguageModel #ProyectoIA
- 🤗 Generate synthetic speaker diarization datas with Diarizers #Diarization #Mirari
- An Introduction to Vision-Language Modeling #VisionLanguageModels #ProyectoIA
- CRAG: Comprehensive RAG Benchmark #RAG #Pablo
- Use of Artificial Intelligence Chatbots in Interpretation of Pathology Reports #TextoClaro #Leo
- MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation #LenguaSignos #ProyectoINDRA
- SignLLM: Sign Languages Production Large Language Models GitHub #LenguaSignos #ProyectoINDRA
- Información para todos Las reglas europeas para hacer información fácil de leer y comprender #Mirari #PlenaInclusion
- The case for 4-bit precision: k-bit Inference Scaling Laws #Quantization
- Accessible Social #Accesibilidad #Mirari
- Multimodal Augmentation for Documents: Recovering “Comprehension” in “Reading and Comprehension” task #DocumentAnalysis
- PaliGemma – Google’s Cutting-Edge Open Vision Language Model #Vision
- Glosario Lengua de Signos Española #LSE #Mirari #LecturaFacil
- Meta Llama Guard 2 #Pablo #Guards
- Finetune PaliGemma #Vision #ImageCaptioning #PlenaInclusion #Mirari
- Diarizers #Diarization #Mirari #Sara
- A Generalist Learner for Multifaceted Medical Image Interpretation #ProyectoIA
- AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments #ProyectoIA
- Idefics2 #ProyectoIA #VisualLanguageModel
- Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent #MultiModal #Agents
- You can now train a 70b language model at home #Training #LLMs
- ALERT: A Comprehensive Benchmark for Assessing Large Language Models’ Safety through Red Teaming #RedTeaming #Pablo #Evaluacion
- Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences #Pablo #LLM #Validation
- Embryologist agreement when assessing blastocyst implantation probability: is data-driven prediction the solution to embryo assessment subjectivity? #Maria
- Generative artificial intelligence to produce high-fidelity blastocyst-stage embryo images #Maria
- Your Language Model Deserves Better Prompting #Prompting #Pablo
- FLOR-6.3B Model optimized for Retrieval Augmented Generation #Rag #Pablo
- Design choices for Vision Language Models in 2024 #VisionLanguageModels #ProyectoIA
- Introducing Super RAGs in Mistral 8x7B-v1 #Pablo #RAG #ProyectoIA
- A library for benchmarking, developing and deploying deep learning anomaly detection algorithms #AnomalyDetection #Bruno
- Introducing Idefics2: A Powerful 8B Vision-Language Model for the community #ImageCaptioning #VisionModels #Mirari #Accesibilidad
- Ring Attention Explained #LLM
- Vision Language Models Explained #VisionModels #Mirari #Accesibilidad
- Development of an automated two pronuclei detection system on time‐lapse embryo images using deep learning techniques #María
- Visualizing Attention #LLM #Docencia
- Introducing Stable LM 2 12B #Pablo #LLM
- LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation #Image2Text #Evaluation
- A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development #Maria #Embriones
- Marigold-LCM Depth Estimation #DepthEstimation #Angela
- Kosmos-2: Grounding Multimodal Large Language Models to the World #Accesibilidad #ProyectoIA #Mirari
- Towards End-to-End Spoken Grammatical Error Correction #ASR #Mirari
- Transformers do not outperform Cellpose #CellSegmentation #HackathonMadrid
- Lavender’: The AI machine directing Israel’s bombing spree in Gaza #CIAIS
- Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation #RAG #Pablo
- What are embeddings? #Embeddings
- La Inteligencia Artificial Generativa en la Docencia Universitaria #IA #Docencia
- Quanto: a pytorch quantization toolkit #quantization
- Introducing the Chatbot Guardrails Arena #GuardRails #Evaluation
- LLaVA-NeXT #ProyectoIA #Accesibilidad
- Cosmopedia: how to create large-scale synthetic data for pre-training #SyntheticData #NLP
- What are embeddings #Embeddings
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection #RAG
- SegGPT: Segmenting Everything In Context #SemanticSegmentation
- AI Watermarking 101: Tools and Techniques #watermarking #CIAIS
- How to generate text: using different decoding methods for language generation with Transformers #Transformers #Decoding #Master
- El derecho a entender #LecturaFacil #Mirari
- ISO/IEC 23859:2023(en) Information technology — User interfaces — Requirements and recommendations on making written text easy to read and understand #LecturaFacil #Mirari
- ISO 24495-1:2023(en) Plain language — Part 1: Governing principles and guidelines #LecturaFacil #Mirari
- Libro “Accesibilidad Web. WCAG 2.2 de forma sencilla”. Descarga gratuita. #AccesibilidadWeb #LecturaFacil #Mirari
- YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information #ObjectDetection
- Synthetic Corpus Generation for Deep Learning-Based Translation of Spanish Sign Language #LenguaSignos
- The Artificial Intelligence (AI) for K-12 initiative (AI4K12) is jointly sponsored by AAAI and CSTA #ArtificialIntelligence #Courses
- SpeechBrain Open-Source Conversational AI for Everyone #Audio #Mirari
- Cellpose3: one-click image restoration for improved cellular segmentation #Arrate #Segmentación #Adrián
- BiaPy: A unified framework for versatile bioimage analysis with deep learning #Arrate #Adrian
- Constitutional AI #Pablo #Guardrails
- PatchTSMixer in HuggingFace - Getting Started #Neuroenergia
- Patch Time Series Transformer in Hugging Face - Getting Started #Neuroenergia
- Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM #Chats
- U-Mamba Enhancing Long-range Dependency for Biomedical Image Segmentation #Segmentation
- How Useful Is Image-Based Active Learning for Plant Organ Segmentation? #ActiveLearning
- Best Practices in Active Learning for Semantic Segmentation #ActiveLearning
- Justified Referral in AI Glaucoma Screening #OPTRetina
- Getting Started With CUDA for Python Programmers #CUDA
- Characteristics of a Large, Labeled Data Set for the Training of Artificial Intelligence for Glaucoma Screening with Fundus Photographs #OPTRetina #Glaucoma
- Sentence Embeddings. Cross-encoders and Re-ranking #Embeddings #Pablo
- MANIFIESTO POR UN LENGUAJE CLARO EN LA ADMINISTRACIÓN #LenguajeClaro
- Textbooks Are All You Need #ProyectoNacional
- Medical concept normalization in clinical trials with drug and disease representation learning #Leo #Normalization
- ChatQA: Building GPT-4 Level Conversational QA Models #Pablo #ChatBots
- Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation #Translation #ClaraMED
- The impact of AI errors in a human-in-the-loop process #CIAIS #Bias #HumanInTheLoop
- Text to Speech #Text2Speech #TTS #Mirari #Leo
- TSPP: A Unified Benchmarking Tool for Time-series Forecasting #TimeSeriesForecasting #Neuroenergía
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing #Prompting
- How to Fine-Tune LLMs in 2024 with Hugging Face #FineTuning #LLM
- ZeroGPU Spaces #Hardware #HuggingFace
- A deep learning system for predicting time to progression of diabetic retinopathy #OPTRetina #RetinalProgression
- Merge Large Language Models with mergekit comparison #ModelMerge
- Merge Large Language Models with mergekit #ModelMerge
- Intro to ColBERT - v2 #Retrieval #Pablo
- Welcome to RAGatouille #Retrieval #Pablo
- Recommending music on Spotify with deep learning #Audio #RecommendationSystems
- cellpose Cellpose: a generalist algorithm for cellular segmentation GitHub #SueAnn
- Direct Preference Optimization: Your Language Model is Secretly a Reward Model #Training #PreferenceModels
- Improving Text Embeddings with Large Language Models #TextEmbeddings
- Red-Teaming Large Language Models #Pablo #RedTeaming
- Llama 2: Open Foundation and Fine-Tuned Chat Models #RedTeaming #LLMs
- Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling #Transformers #Training
- The Random Transformer #Transformers
- DocLLM: A layout-aware generative language model for multimodal document understanding #Documents #MultiModal
- Exploring deep learning networks for tumour segmentation in infrared images #Zataca #ThermalImaging
- Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4 #Zataca #ThermalImaging
- A Systematic Review of Breast Cancer Detection Using Thermography and Neural Networks #Zataca #ThermalImaging
- LLaMA Beyond English: An Empirical Study on Language Capability Transfer #MultiLingual #NLP
- End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images #OPTRetina #Angela
- Pygmalion Displacement: When Humanising AI Dehumanises Women #CIAIS
- ConvNets Match Vision Transformers at Scale #NFNet #ComputerVision
- Orca 2: Teaching Small Language Models How to Reason #LanguageModel #Prompting
- Advanced RAG Techniques: an Illustrated Overview #RAG #Pablo
- Publicaciones Plena Inclusión #LecturaFacil
- Generative AI for Math: Part I – MathPile: A Billion-Token-Scale Pretraining Corpus for Math #Dataset #ProyectoIA
- The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading #OPTRetina #Segmentation Dataset
- Awesome Conformal Prediction #ConformalPrediction
- OpenVoice #Mirari
- Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study #ProyectoIA #OPTRetina
- UniIR: Training and Benchmarking Universal Multimodal Information Retrievers #Retrieval #MultiModal
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine #ProyectoIA #Pablo #Prompting
- Adversarial Diffusion Distillation #Distillation #DataGeneration
- AM-RADIO: Agglomerative Model – Reduce All Domains Into One #Distillation #VisualFundationModel #ProyectoIA
- Gated Linear Attention Transformers with Hardware-Efficient Training #Transformers
- Development of Deep Ensembles to Screen for Autism and Symptom Severity Using Retinal Photographs #OPTRetina
- Assisted Generation: a new direction toward low-latency text generation #Optimization #Pablo
- Speculative Decoding for 2x Faster Whisper Inference #Optimization #Mirari #Pablo
- A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges #ProyectoIA
- A Foundational Multimodal Vision Language AI Assistant for Human Pathology #ProyectoIA
- Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging #DataSinthesis #Manuel #GANS
- How to make LLMs go fast #Optimizations #Transformers
- Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos #ProyectoIA
- GeoChat: Grounded Large Vision-Language Model for Remote Sensing #ProyectoIA
- Uncovering developmental time and tempo using deep learning #Maria
- EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways #Maria
- Method of the Year 2023: Methods for modeling development #Maria
- Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC #CellSegmentation #Maria Software
- The Power of Prompting #Prompting #Pablo
- promptbase #Prompting
- Steering at the Frontier: Extending the Power of Prompting #Prompting
- Building RAG-based LLM Applications for Production #RAG #Pablo
- Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch - Lightning AI #Optimization #Training
- Multimodal Retrieval Augmented Generation(RAG) #MultiModal #RAG
- Optimum-NVIDIA on Hugging Face enables blazingly fast LLM inference in just 1 line of code #LLM #Efficiency #Pablo
- Welcome Mixtral - a SOTA Mixture of Experts on Hugging Face #Pablo
- LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching #ProyectoIA #SelfSupervisedLearning #OPTRetina
- Mixture of Experts Explained #LLM #Pablo
- PyImageJ: A library for integrating ImageJ and Python #ImageJ #Arrate #Adrian
- Updates in the Diabetic Retinopathy Screening Landscape #OPTRetina
- Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation #OPTRetina Code
- A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features #OPTRetina
- Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier #OPTRetina
- Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review #OPTRetina
- Mixtral of experts A high quality Sparse Mixture-of-Experts. #LLM
- napari-chatgpt #Adrian #Agente
- Claves para la Gobernanza de sistemas de Inteligencia Artificial #Gobernanza #ProyectoNacional
- MEDITRON-70B: Scaling Medical Pretraining for Large Language Models #ProyectoIA trainer code #Corpus
- ROBBIE: Robust Bias Evaluation of Large Generative Language Models #Bias #PromptBasedMetrics
- Seamless Communication #Audio #Mirari
- ChatGPT’s One-year Anniversary: Are Open-Source Large Language Models Catching up? #LLMs #Challenges
- Deconstructing RAG #Pablo #RAG
- Seamless Communication #Mirari #Speech2Speech #Speech2Text
- Evaluate and Track LLM Applications #Pablo #RAG #Evaluation
- Millions of new materials discovered with deep learning #Science #GNN Paper
- Some intuitions about large language models #LLM
- Finetuning TTS #Text2Speech #Mirari
- Text-To-Speech datasets #Text2Speech #Mirari
- Isolated Sign Recognition from RGB Video using Pose Flow and Self-Attention #LenguaSignos Dataset
- [[https://signon-project.eu/wp-content/uploads/2022/01/AICS2021_paper_final.pdf][Sign Language Fingerspelling Recognition using
Synthetic Data]] #LenguaSignos
- LSE_UVIGO: A Multi-source Database for Spanish Sign Language Recognition #LenguaSignos #Dataset
- A survey on Sign Language machine translation #LenguaSignos #Survey
- Great Practices for Retrieval Augmented Generation (RAG) in Production #RAG #Pablo
- Chat with your Youtube video #Adrian #YoutubeChat
- YouTube Chatbot using LangChain and OpenAI #Adrian #YoutubeChat
- Youtube to chatbot #Adrian #YoutubeChat
- Escuela de pacientes #Adrian #YoutubeChat
- MEDITRON-70B: Scaling Medical Pretraining for Large Language Models #ProyectOIA
- SEMQA: Semi-Extractive Multi-Source Question Answering #QuestionAnswering #RAG
- Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service #ClaraMed #EntityRelation
- Named Entity Recognition for Audio De-Identification #Mirari #Anonimization
- Timething #Mirari #TextAlignment
- Applying OpenAI’s RAG Strategies #RAG #Pablo
- Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning #FineTuning #NLP
- Building Named Entity Recognition and Relationship Extraction Components with HuggingFace Transformers #NER #ER #ClaraMed
- Retina pathology as a target for biomarkers for Alzheimer’s disease: Current status, ophthalmopathological background, challenges, and future directions #OPTRetina #Alzheimer
- An Overview on RAG Evaluation #RAG #Pablo
- Proyecto Menhir #PrevenIA #Pablo
- Quantifying the Dialect Gap and its Correlates Across Languages #ASR #Mirari
- Evolutionary design of explainable algorithms for biomedical image segmentation #ImageProcessing #Segmentation #EvolutionaryAlgorithms
- Llama index examples #Tutorials #LLMs
- Introducing the Giskard Bot: Enhancing LLM Testing & Debugging on Hugging Face #Vulnerabilities #LLMDebugging
- Cross-Image Attention for Zero-Shot Appearance Transfer #Manu #StyleTransfer
- STOP: Suicide prevenTion in sOcial Platforms #SUicidio #Pablo
- Gladia Speech-to-Text API: Speaker Diarization #Diarization #Mirari
- MetaClip #ImageCaptioning #Embeddings
- RAG Evaluation using Fixed Sources #RAG #Pablo
- Transformers-Tutorials #Transformers #Tutorials
- Coqui TTS #Text2Speech #Mirari
- OneFormer: One Transformer to Rule Universal Image Segmentation #SemanticSegmentation
- High-Performance Large-Scale Image Recognition Without Normalization #ImageClassificaiton
- Embeddings: What they are and why they matter #Embeddings #Pablo #Master
- Retrieval-Augmented Image Captioning #RAG #ImageCaptioning #MultiModal
- Data Provenance Explorer #DataProvenance
- CLEAR.TEXT Enhancing the Modernization Public Sector Organizations by Deploying Natural Language Processing to Make Their Digital Content CLEARER to Those with Cognitive Disabilities #LecturaFacil #Mirari
- IRAZ: Easy-to-Read Content Generation via Automated Text Simplification #LecturaFacil #Mirari
- OBSER‐MENH: Digital OBSERvatory of MENtal Health in Social Networks for Healthcare Institutions Based on Language Technologies #PrevenIA #Pablo
- Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models #OPTRetina #DifussionModels
- Self-RAG: Learning to Retrieve, Generate and Critique through Self-Reflections #RAG #PrevenIA #Pablo
- Gradio-Lite: Serverless Gradio Running Entirely in Your Browser #Master #Gradio #Interfaces
- Samantha and Mistral 7B: A Powerful and Versatile Language Model Duo #PrevenIA #Pablo
- Fuyu-8B: A Multimodal Architecture for AI Agents #MultiModality
- Laws of UX #Usabilidad
- Inside OPRO: Google DeepMind’s New Method that Optimizes Prompts Better than Humans #PromptEngineering
- Using large language models in psychology #psychology
- LLM prompting guide #Prompting
- Mistral 7B #LLM #Pablo #GuardRails
- https://restofworld.org/2023/ai-image-stereotypes/ #CIAIS #Bias
- RAIN: Your Language Models Can Align Themselves without Finetuning #SelfAlignment #LLMs
- ChatSubs: A dataset of dialogues in Spanish, Catalan, Basque and Galician extracted from movie subtitles for developing advanced conversational models #Datasets
- Reproducibility #Reproducibility #Checklist
- Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models #MedicalVQA #ProyectoIA
- Automatic Text Simplification for People with Cognitive Disabilities: Resource Creation within the ClearText Project #LecturaFacil
- Improved Baselines with Visual Instruction Tuning #ProyectoIA
- Lectura fácil #LecturaFacil #Mirari
- Semantic Similarity Models for Depression Severity Estimation #PrevenIA
- Humans inherit artificial intelligence biases #Bias
- GoLLIE: Guideline-following Large Language Model for Information Extraction #InformationExtraction
- Evaluating and Optimizing your RAG App #PrevenIA #RAG
- Preventing Health Data Leaks with Federated Learning Using NVIDIA FLARE #FederatedLearning
- Accelerated Vector Search: Approximating with RAPIDS RAFT IVF-Flat #VectorSearch #PrevenIA
- MarIA and BETO are sexist: evaluating gender bias in large language models for Spanish #Bias
- OPTuna #HyperparamenterTuning
- Early detection of mental disorders risk in Spanish (MentalRiskES) #Proceedings #PrevenIA
- LyricSIM: A novel dataset and benchmark for similarity detection in Spanish song lyrics #Corpus
- Catalan Parliamentary Plenary Session Transcriptions from 2015 to 2022. The ParlaMintCAT Corpus #Corpus
- CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets #ProyectoIA #LiteratureReview
- The Relationship Between Drone Flying Height and Pixel Size #Usue #Drones
- Deep Dirichlet Uncertainty for Unsupervised Out-of-Distribution Detection of Eye Fundus Photographs in Glaucoma Screening #OPTRetina #OOD
- What Should Data Science Education Do with Large Language Models? #DataScience #Education #ChatGPT
- An artificial intelligence system for the whole process from diagnosis to treatment suggestion of ischemic retinal diseases #OPTRetina
- Reinforcement Learning for Diffusion Models from Scratch #ReinforcementLearning #DifussionModels
- Generative AI exists because of the transformer #Transformers #Explanation
- Antidote CasiMedicos Datasets #ProyectoIA
- Easy-to-Read in Germany: A Survey on its Current State and Available Resources #LecturaFacil #Mirari
- Single Image Test-Time Adaptation for Segmentation #DomainAdaption
- Recursos lectura fácil #LecturaFacil #Mirari
- Daisy format #Accesibilidad #Mirari
- El Camino Más Fácil #LecturaFacil #Mirari
- Directrices para materiales de lectura fácil #LecturaFacil #Mirari
- Towards an Automatic Easy-to-Read Adaptation of Morphological Features in Spanish Texts #TextoClaro
- EASIER system. Language resources for cognitive accessibility #LecturaFacil #Mirari
- Making It Simplext: Implementation and Evaluation of a Text Simplification System for Spanish #LecturaFacil #Mirari
- Can Spanish Be Simpler? LexSiS #LecturaFacil #Mirari
- DysWebxia: Textos m´as Accesibles para Personas con Dislexia #TextoClaro #Dislexia
- Search Pictograms #Pictograms
- Planeta fácil #LecturaFacil #Mirari
- BrainLM: A foundation model for brain activity recordings #FoundationalModel #Brain #CarmenVidaurre
- Inside the Matrix: Visualizing Matrix Multiplication, Attention and Beyond #Visualisations
- Lessons Learned From Training a Segmentation Model On Synthetic Data #Segmentation #SyntheticData
- A Hackers’ Guide to Language Models #LLM #FastAI
- Introduction to 3D Gaussian Splatting #Graphics
- Optimizing your LLM in production #Optimizations #PrevenIA
- Towards inclusive automatic speech recognition #SpeechRecognition #Mirari
- Optimum #Embeddings #PrevenIA
- Building Scalable, Explainable, and Adaptive NLP Models with Retrieval #InformationRetrieval #Prevenia
- PrimeQA #InformationRetrieval #PrevenIA
- Artificial Intelligence for Sign Language Translation -A Design Science Research Study #LenguaSignos
- A survey on Sign Language machine translation #LenguaSignos
- AI Art and its Impact on Artists #CIAIS #Ethics
- Topological fingerprints for audio identification #TDA
- Frontiers of multimodal learning: A responsible AI approach #MultiModal #Biases
- High-Quality Entity Segmentation #Segmentation
- NExT-GPT: Any-to-Any Multimodal LLM #MultiModal
- Why and How to Fine-tune CLIP #FineTuning
- Biomedical Computer Vision models #MedicalAI
- Information for all: European standards for making information easy to read and understand #Accesibilidad #Mirari
- Coqui🐸 XTTS #Text2Speech #VoiceCloning
- Foundation models for generalist medical artificial intelligence #ProyectoIA #MultiModal
- Towards Generalist Foundation Model for Radiology #ProyectoIA #MultiModal
- Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images #ProyectoIA #MultiModal
- Fostering transparent medical image AI via an image-text foundation model grounded in medical literature #ProyectoIA #MultiModal
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation #DataAuditing #Ruben
- A visual–language foundation model for pathology image analysis using medical Twitter #ProyectoIA #MultiModal
- Multimodal Foundation Models For Echocardiogram Interpretation #ProyectoIA #MultiModal
- A foundation model for generalizable disease detection from retinal images #OPTRetina #SelfSupervisedLearning Code
- Nougat: Neural Optical Understanding for Academic Documents #OCR
- Self-Alignment with Instruction Backtranslation #SemiSupervisedLearning
- Multimodal Foundation Models For Echocardiogram Interpretation #MultiModal #Medicine #ProyectoIA
- Designing a Virtual Patient Dialogue System Based on Terminology-rich Resources: Challenges and Evaluation #PrevenIA #Evaluación
- Overview of BioASQ 2021-MESINESP track. Evaluation of advance hierarchical classification techniques for scientific literature, patents and clinical trials #MedicalDocuments #Database #ProyectoIA
- Accelerating Vector Search: Using GPU-Powered Indexes with RAPIDS RAFT #VectorSearch #PrevenIA
- Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications #PrevenIA #ProyectoIA #Tools
- BARTScore: Evaluating Generated Text as Text Generation #CLARAMed
- Syncing data sources to vector stores #PrevenIA
- Can LLMs learn from a single example? #LLM
- Spread Your Wings: Falcon 180B is here #LLM
- Talk to Haystack Docs: Creating a Domain-Focused Q&A RAG Pipeline with WebRetriever #ProyectoIA #Retriever
- Multilingual Unsupervised Sentence Simplification #TextSimplfication #CLARAMED
- Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach #TextSimplification #CLARAMED #ReinforcementLearning
- Question and Answer Generation with Language Models #PrevenIA #QuestionAnsweringGeneration
- FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance #FAQRetrieval #PrevenIA
- Educator FAQ ChatGPT #Education #ChatGPT
- Preprocessing of normative documents for interactive question answering #PrevenIA #DatasetGeneration
- CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice #PrevenIA #DatasetGeneration
- A Multimodal Dataset to Create Manufacturing Digital Twins #Dataset
- CRAFT: Concept Recursive Activation FacTorization for Explainability #Explainability #ComputerVision #Master
- Large language models in medicine: the potentials and pitfalls #ProyectoIA #Medicine #LLM
- Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities #ProyectoIA #MultiModal
- FacTool: Factuality Detection in Generative AI – A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios #LLM #Factuality
- Graph of Thoughts: Solving Elaborate Problems with Large Language Models #LLMs #Prompting
- LLaSM: Large Language and Speech Model #Speech
- SAM-Med2D #Segmentation #Ruben
- Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding #MedicalLLM #ProyectoIA
- Fine-tune Llama 2 with DPO #ReinforcementLearning #PrevenIA #ProyectoIA
- Evaluating the fairness of computer vision models #ComputerVision
- Bibliografía CLARA-MeD #CLARAMed
- Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images #PlantPhenomics #Usue
- Escuela de Pacientes #PrevenIA #ProyectoIA
- Retrieval-based Language Models and Applications #ProyectoIA #PrevenIA
- Precision Health in the Age of LLMs #ProyectoIA
- ASL Fingerspelling Recognition w/ TensorFlow #LenguaSignos
- TRL - Transformer Reinforcement Learning #ProyectoIA #CLARAMed
- Getting Started With LLMs #LLMs #Prompting #FastAI
- Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering #PrevenIA #ProyectoIA #QuestionAnswering
- Q&A System Correctness #QuestionAnswering #PrevenIA
- Neuralangelo: High-Fidelity Neural Surface Reconstruction #3DReconstruction
- Lanzamos una nueva versión del modelo de lenguaje del IIC: RigoBERTa 2 #LLM #Spanish #Encoderonly
- Tips for Writing NLP Papers #PhD #Tips
- Extrapolating Large Language Models to Non-English by Aligning Languages #LLMs #Multilingual
- CHEAT SHEETS FOR IMAGE PUBLISHING #ImagePublishing #PhD
- BARK: Free Text to Speech & Voice Cloning #Text2Speech #Mirari
- a foundational multimodal model for speech translation #speech2text #text2speech #Mirari
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs #ProyectoIA
- An automated classification framework for glaucoma detection in fundus images using ensemble of dynamic selection methods #Glaucoma #OPTRetina
- Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models’ Alignment #LLM #ProyectoIA #Evaluation
- Evaluating RAG pipelines with Ragas + LangSmith #QuestionAnswering #ProyectoIA #PrevenIA
- OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents #MultiModal #ProyectoIA
- Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions #ProyectoIA
- Adaptación de Llama 2 13B de Meta para un mejor rendimiento en español #LLMs #PrevenIA
- Open challenges in LLM research #LLMs
- WhisperX #Speech2Text #Mirari
- Large Language Models with Semantic Search #SemanticSearch #PrevenIA #Course
- Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering #ProyectoIA #Evaluación
- DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales #ReinforcementLearning
- Documentos de lectura fácil medline #ProyectoIA #LecturaFacil
- PathVQA #ProyectoIA #Dataset #VisualQuestionAnswering
- Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine #ProyectoIA #QuestionAnswering #Biomedical
- Towards Generalist Biomedical AI #ProyectoIA #VisualQuestionAnswering #Biomedical #MultiModal
- Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering #ProyectoIA #QuestionAnswering #Biomedical
- Biomedical Question Answering: A Survey of Approaches and Challenges #ProyectoIA #QuestionAnswering #Biomedical
- BioASQ-QA: A manually curated corpus for Biomedical Question Answering #ProyectoIA #QuestionAnswering #Biomedical
- Clinical, Consumer Health, and Visual Question Answering #ProyectoIA #VisualQuestionAnswering #Biomedical #MultiModal
- Biomedical Question Answering: A Survey of Approaches and Challenges #ProyectoIA #QuestionAnswering #Biomedical #MultiModal
- RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training #ProyectoIA #VisualQuestionAnswering #Biomedical #MultiModal #InformationRetrieval
- Med-Flamingo: a Multimodal Medical Few-shot Learner #ProyectoIA #VisualQuestionAnswering #Biomedical #MultiModal
- Spanish Biomedical Crawled Corpus #ProyectoIA #Dataset
- Design and Evaluation of an Automatic Speech Recognition Model for Clinical Notes in Spanish in a Mobile Online Environment #ProyectoIA #SpeechRecognition
- Automatic Speech Recognition Model Adaptation to Medical Domain Using Untranscribed Audio #ProyectoIA #SpeechRecognition
- Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model #ProyectoIA #SpeechRecognition
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face #ProyectoIA #Agents
- Embracing Large Language Models for Medical Applications: Opportunities and Challenges #ProyectoIA #Biomedical
- Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining #ProyectoIA #VisualQuestionAnswering #Biomedical #MultiModal
- Overcoming Data Limitation in Medical Visual Question Answering #ProyectoIA #VisualQuestionAnswering #Biomedical
- The Probabilistic Relevance Framework: BM25 and Beyond #ProyectoIA #InformationRetrieval
- Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing models #ProyectoIA #InformationRetrieval
- Retrieval Augmented Generation with Huggingface Transformers and Ray #ProyectoIA #InformationRetrieval
- Almanac: Retrieval-Augmented Language Models for Clinical Medicine #ProyectoIA #InformationRetrieval #VisualQuestionAnswering #Biomedical
- REALM: Retrieval-Augmented Language Model Pre-Training #ProyectoIA #InformationRetrieval
- Hybrid deep learning model for answering visual medical questions #ProyectoIA #VisualQuestionAnswering #Biomedical
- Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples #ProyectoIA #InformationRetrieval #QuestionAnswering #Biomedical
- Large Language Models Encode Clinical Knowledge #ProyectoIA #QuestionAnswering #Biomedical
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day #ProyectoIA #VisualQuestionAnswering #Biomedical
- MedAlpaca – An Open-Source Collection of Medical Conversational AI Models and Training Data #ProyectoIA #QuestionAnswering #Biomedical
- OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue #ProyectoIA #VisualQuestionAnswering #Biomedical
- CephGPT-4: An Interactive Multimodal Cephalometric Measurement and Diagnostic System with Visual Large Language Model #ProyectoIA #VisualQuestionAnswering #Biomedical
- Vanilla VQA #ProyectoIA #VisualQuestionAnswering
- Unified Model for Image, Video, Audio and Language Tasks #ProyectoIA #MultiModal
- Multimodal medical AI #ProyectoIA #QuestionAnswering #Biomedical #MultiModal
- How to Build an Open-Domain Question Answering System? #ProyectoIA #QuestionAnswering #Biomedical
- Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA #ProyectoIA #TextSimplification #ClaraMed
- Multilingual Simplification of Medical Texts #ProyectoIA #TextSimplification #CLaraMed
- Question answering systems in biology and medicine—the time is now #ProyectoIA #QuestionAnswering #Biomedical
- The Design and Implementation of XiaoIce, an Empathetic Social Chatbot #ProyectoIA #QuestionAnswering #Biomedical
- Recent progress in leveraging deep learning methods for question answering #ProyectoIA #QuestionAnswering #Biomedical
- Towards Expert-Level Medical Question Answering with Large Language Models #ProyectoIA #QuestionAnswering #Biomedical
- Med-PaLM #ProyectoIA #MultiModal #QuestionAnswering #VisualQuestionAnsering #Biomedical
- CHiQA #ProyectoIA #QuestionAnswering #Biomedical
- ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation #ProyectoIA #ClinicalNotes
- An Investigation of Evaluation Metrics for Automated Medical Note Generation #ProyectoIA #ClinicalNotes
- Clinical Text Mining #ProyectoIA #ClinicalNotes
- Dataset for Automated Medical Transcription #ProyectoIA #ClinicalNotes
- Open-Source Text Generation & LLM Ecosystem at Hugging Face #LLMs
- Fine-tuning MMS Adapter Models for Multi-Lingual ASR #ASR #Mirari
- Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2 #ProyectoIA
- Llama 2 is here - get it on Hugging Face #LLMs #PrevenIA
- Fundamentals of Recommendation Systems #RecommendationSystems
- LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance #ImageEditing #Difusion
- Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language #Imagecaptioning
- Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts #Teaching #ChatGPT
- Daltonismo: la solución está en el morado y el naranja #Accesibilidad #Mirari
- TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement #Tracking
- Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance #VoicenGeneration #Mirari
- Web-scale semantic product search with large language models #SemanticSearch
- Disproving XAI Myths with Formal Methods – Initial Results #Interpretability
- Artificial Intelligence for Beginners - A Curriculum #InteligenciaArtificial #Curso
- Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute #Audio
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture #Pretraining #ImageClassification
- ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation #HistoriaClinica #AnaRosa
- An Investigation of Evaluation Metrics for Automated Medical Note Generation #Metrics #HistoriaClinica #AnaRosa
- Audio course #HuggingFace #Audio #Mirari
- Introducing the Java Deep Learning Library - JDLL #ImageJ #Adrian
- Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema #UPRetina
- The Falcon has landed in the Hugging Face ecosystem #LLMs
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day #ChatBot #Biomedicine
- Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning #FineTuning
- Create Image Captioning Models #Gobierno #ImageCaptioning
- Machine translation from text to sign language: a systematic review #LenguaSignos
- Summarization LangChain #Summarization #PrevenIA
- Is Avoiding Extinction from AI Really an Urgent Priority? #CIAIS
- 5 myths about medical AI, debunked #UPRetina
- LangChain AI Handbook #ChatBot #LangChain #PrevenIA
- Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA #Quantization #PrevenIA
- Federated Learning using Hugging Face and Flower #FederatedLearning
- Eighth International Workshop on Sign Language Translation and Avatar Technology #LenguaSignos #Congreso
- Sign Language Recognition, Translation & Production #LenguaSignos #Congreso
- The SignON Project #LenguaSignos
- LIMA: Less Is More for Alignment #LLMs
- Introducing speech-to-text, text-to-speech, and more for 1,100+ languages #Speech2Text #Text2Speech
- From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathologyhttps://arxiv.org/abs/2204.05044 #ImageClasssification #DomainShift #Robustness
- Dr. LLaMA: Improving Small Language Models on PubMedQA via Generative Data Augmentation #QuestionAnswering
- Hugging Face Transformers Agent #Agents
- InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning #VisualQuestionAnswering
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing #LLMs
- Brain Activity Decoder Can Reveal Stories in People’s Minds #Neuro
- BLOOMChat: a New Open Multilingual Chat LLM #LLMs #ChatBot #PrevenIA
- AI and Power: The Ethical Challenges of Automation, Centralization, and Scale #Ethics #CIAIS
- Assisted Generation: a new direction toward low-latency text generation #LLMs #Optimization #Inference
- Run a Chatgpt-like Chatbot on a Single GPU with ROCm #LLMs #Optimization
- Introducing RWKV - An RNN with the advantages of a transformer #LLMs #RNN
- EU AI Act To Target US Open Source Software #CIAIS
- Faiss: A library for efficient similarity search #PrevenIA #InformationRetrieval #FAISS
- Adding a FAISS or Elastic Search index to a Dataset #PrevenIA #InformationRetrieval #FAISS #HuggingFace
- Understanding Dense Passage Retrieval (DPR) System #PrevenIA #InformationRetrieval
- Evaluating Embedding APIs for Information Retrieval #PrevenIA #InformationRetrieval
- AI in Education #Education
- Text-to-Video: The Task, Challenges and the Current State #Text2Video
- StarCoder: A State-of-the-Art LLM for Code #LLMs #Coding
- ImageBind: One Embedding Space To Bind Them All #MultiModality
- Fine-tuning Alpaca and LLaMA: Training on a Custom Dataset #FineTuning #LLMs #ClaraMed
- Learn Prompting #Prompting #LLMs
- Transformers-Tutorials #Tutorials #Transformers
- Performing visual question answering (VQA) with ViLT #VisualQuestionAnswering #Gobierno
- PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems #HistoriaClinica #AnaRosa
- Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospects #Teaching #ChatGPT
- RLHF: Reinforcement Learning from Human Feedback #RLHF #ChatGPT
- Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors #ClaraMed #QualitativeEvaluation
- Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization #SemiSupervisedLearning #CarmenVidaurre #DomainShift
- The Mathematics of Neural Networks
- The Full Story of Large Language Models and RLHF #LLMs #CursoPDI
- NLP with Python: Knowledge Graph #KnowledgeGraph #M&M
- Mojo may be the biggest programming language advance in decades #Mojo #Parallelization
- Performance and Scalability: How To Fit a Bigger Model and Train It Faster #LLMs #BigModels
- Fine-tuning Alpaca and LLaMA: Training on a Custom Dataset #CLARA-Med #Fine-Tuning #LLMs #BigModels
- How to Create an App that Answers Questions About Your Contract Using Embeddings and GPT #PrevenIA
- Track Anything: Segment Anything Meets Videos #Tracking
- THERIF: Themes for Readability from Iterative Feedback #Readability
- Digital Reading Rulers #Readability
- Semantra #SemanticSearch #PrevenIA
- Gradio & LLM Agents #LLMs #LangChain
- Scaling Transformer to 1M tokens and beyond with RMT #Transformers
- LangChain Document Question-Answering Webinar #PrevenIA
- Free Dolly: Introducing the World’s First Truly Open Instruction-Tuned LLM #LLM #PrevenIA
- https://python.langchain.com/en/latest/use_cases/evaluation/qa_generation.html #QuestionAnswering
- Alternatives to OpenAI GPT model: using an open-source Cerebras model with LangChain #PrevenIA
- Improving Zero-Shot Ranking with Vespa Hybrid Search - part two #SemanticSearch
- Prompt Engineering Guide #PromptEngineering
- Semantic Search using LlamaIndex and Langchain #Prevenia #SemanticSearch
- DINOv2: State-of-the-art computer vision models with self-supervised learning #SelfSupervisedLearning
- La dificultad de entender el lenguaje que utilizan las Administraciones públicas #TextoClaro
- MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models #VisualQuestionAnswering
- 5 Steps to Get Started with Digital Twins #DigitalTwin #PRIMA
- Omniverse Digital Twin playlist #DigitalTwin #PRIMA
- Graph classification with Transformers #GraphNeuralNetworks
- Introduction to Graph Machine Learning #GraphNeuralNetworks
- Clinical Text Mining #HistoriaClinica #AnaRosaTerroba
- LangChain #PrevenIA
- Building LLM applications for production #LanguageModels #PrevenIA
- Consistency Models #ImageGeneration
- Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding #VisuallySituatedLanguage
- Extrayendo datos de gráficas #AngelLuis #Pix2Struct
- Semantic Search using LlamaIndex and Langchain #SemanticSearch #PrevenIA
- Developing an aging clock using deep learning on retinal images #OPTRetina
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace #NLP #ChatGPT
- Introducing Segment Anything: Working toward the first foundation model for image segmentation #Segmentation
- CARES: A Corpus for classification of Spanish Radiological reports #ClinicalText
- Best ChatGPT Resources 101 #ChatGPT
- Midjourney prompts #ImageGeneration
- Prompt Engineering #PromptEngineering
- NVIDIA cuOpt #OPTRetina #Planificacion
- Ways to Improve Your Conversational Agents using Language Models
- Transformer Reinforcement Learning X #RLHF #TextoClaro
- Illustrating Reinforcement Learning from Human Feedback (RLHF) #RLHF #TextoClaro
- Understanding Reinforcement Learning from Human Feedback (RLHF): Part 1 #RLHF
- A deep learning-based framework for retinal fundus image enhancement #ImageEnhancement #OPTRetina
- A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study #OPTRetina
- Efficient Large Language Model training with LoRA and Hugging Face #FineTuning #LLMs
- Generative AI Models: History, Costs and Risks #Ethics #CIAIS
- Prismer: A Vision-Language Model with Multi-Modal Experts #MultiModalLearning #ImageCaptioning
- Ethics & Society at Hugging Face #CIAIS
- What is semantic search? #SemanticSearch #PrevenIA
- Image captioning #ImageCaptioning
- PEFT: Parameter-Efficient Fine-Tuning of Billion-Scale Models on Low-Resource Hardware #Training #LanguageMondels
- Document Question and Answer #PrevenIA #HuggingFace
- Teachable Machine #AutoML
- WhisperX #SpeechRecognition #Diarization
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models #VisualQuestionAnswering
- A Dive into Vision-Language Models #MultiModalLearning #ComputerVision #NLP
- M2M100 + BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining #HFSpace #BioQuestionAnswering
- Speech Recognition from Visual Lip Movement by Audio-Visual Hidden Unit BERT Model (AV-HuBERT) #LipMovementReading #HFSpace
- CoCa: Contrastive Captioners are Image-Text Foundation Models #CaptionGeneration #HFSpace
- Towards a Tagalog NLP pipeline
- The State of Computer Vision at Hugging Face 🤗 #ComputerVision #HuggingFace
- Neural Search Frameworks: A Head-to-Head Comparison #SemanticSearch
- Computational Social Science ≠ Computer Science + Social Data #CIAIS
- Universal Image Segmentation with Mask2Former and OneFormer #SemanticSegmentation #PanopticSegmentation
- Deep Learning Tuning Playbook #HyperparameterTuning
- What Are Word and Sentence Embeddings? #NLP
- A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study #TesisMaria
- LangChain Chat #PrevenIA #ChatBot
- Demystifying Fourier analysis #Fourier
- Educar en salud mental mejora la calidad de vida de las personas #PrevenIA
- How to implement Q&A against your documentation with GPT3, embeddings and Datasette #PrevenIA
- BioMedIA: A Complete Voice-to-Voice Generative Question Answering System for the Biomedical Domain in Spanish #QuestionAnswering
- Ultralytics YOLOv8: State-of-the-Art YOLO Models #ObjectDetection
- Reducing Development Time for Intelligent Virtual Assistants in Contact Centers #PrevenIA
- Object detection #ObjectDetection #Transformers
- Large Language Models Encode Clinical Knowledge #MedicalQuestionAnswering #InstructionTuned
- Chatbot #PrevenIA
- Hybrid Search Explained #SemanticSearch
- ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders #Classification #CNN
- Stop using the elbow criterion for k-means and how to choose the number of clusters instead #Clustering #MachineLearning #IA
- Some remarks on Large Language Models #LanguageModels #ChatGPT
- Vector databases #SemanticSearch #PrevenIA
- Large Language Models Encode Clinical Knowledge #languagemodels #questionanswering #medicine
- An overview of gradient descent optimization algorithms #machinelearning
- Bonjour. مرحبا. Guten tag. Hola. Cohere’s Multilingual Text Understanding Model is Now Available #SemanticSearch #prevenia
- Active Multi-Task Representation Learning #ActiveLearning #MultiTaskLearning
- Conversational #chatbots #prevenia
- Paradigms of AI alignment #Alignment
- Transformers from Scratch #Transformers
- What Is Text Vectorization? Everything You Need to Know #PrevenIA
- Ethics in AI Syllabus Liam Kofi Bright #Ethics
- A Library for Uncertainty Quantification #Uncertainty
- Prompt node #Prompt #SemanticSearch
- Tutorial: Build Your First QA System #PrevenIA
- COMO BUSCAR TU AGUJA EN UN PAJAR DE DATOS #PrevenIA
- Recognizing Unknown Images, or the Unknown Label Problem #FastAI #OutOfDomain
- SpeechBrain #Mirari
- resumico, el bot que resume audios de WhatsApp #PrevenIA #Whatsapp
- Reading Wikipedia to Answer Open-Domain Questions #PrevenIA #QuestionAnswering
- Audio classification with Vision Transformers #AudioClassification
- Scalable Diffusion Models with Transformers #Transformers #Diffusion
- The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications #ChatBot #PrevenIA
- Zero-shot image segmentation with CLIPSeg #ZeroShotLearning #SemanticSegmentation
- Probabilistic Time Series Forecasting with 🤗 Transformers #TimeSeries
- The alignment problem from a deep learning perspective #Alignment #DeepLearning
- What do Vision Transformers Learn? A Visual Exploration #VisionTransformers #Interpretation
- Automatic Speech Recognition: Introduction, Current Trends and Open Problems #ASR #Mirari
- Exploring Disaggregated Data with 🤗 Disaggregators #Ethics
- Few-Shot Learning In Production #SetFit #FewShotLearning #Transformers
- PubMedGPT 2.7B #TextoClaro #BiomedicalTexts
- PubMed GPT: a Domain-Specific Large Language Model for Biomedical Text #TextoClaro #BiomedicalTexts
- Fine-tuning for Semantic Segmentation with 🤗 Transformers #SemanticSegmentation
- On the Ethical Considerations of Text Simplification #TextSimplification #TextoClaro #ClaraMed
- EasyNMT - Easy to use, state-of-the-art Neural Machine Translation #MachineTranslation #MasterArista
- Predicting sex from retinal fundus photographs using automated deep learning #UPRetina
- Simple ML for Sheets #Drive #MachineLearning
- Fine-tuning or using Whisper, wav2vec2, HuBERT and others with SpeechBrain and HuggingFace #Whisper #FineTuning
- Deep Learning With Proteins #Chemistry
- Cómo construir un psicólogo-chatbot #PrevenIA
- Whisper Fine Tuning Event #ASR
- Out-Of-Distribution Detection Is Not All You Need #OutOfDistribution
- The Need for Interpretable Features: Motivation and Taxonomy #Interpretability
- Artificial Agents Use Reinforcement Learning to Explain Actions, a Necessary Step as They Get Smarter #ReinforcementLearning #Interpretability
- FFmpeg - The Ultimate Guide #Video
- Stable Diffusion 2.0 Release #Diffusion
- Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table #TextSimplification #ClaraMED
- A guide to Google Search ranking systems #SearchSystems
- MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model #DiffusionModels #SemanticSegmentation
- Writing a Good Research Paper #PhD
- Video Classification #VideoClassification
- Blueprints for intelligence #History #Diagrams
- Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey
- TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP #NLP #AdversarialAttacks #Mapi libraryhttps://github.com/QData/TextAttack
- Accelerating ML Inference at Scale with ONNX, Triton and Seldon | PyData Global 2021 #ONNX #Production #OPTRetina
- Taking FastAI to Production #FastAI #Production #OPTRetina
- Scientists Increasingly Can’t Explain How AI Works #Explainability #Mapi
- Image sequences #FastAI #Video
- NVIDIA NeMo #SpeechRecognition #Mirari Transfer learning Tutorials
- Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers #SpeechRecognition #Mirari
- Introducing Cohere Sandbox: Open-Source Libraries to Help Developers Experiment with Language AI #Psicologos #Chatbot repositorio1 repositorio2
- Edinburgh Associative Thesaurus
- Detecting Signs of Disease from External Images of the Eye #UPRetina
- model-recycling page #NLP #TransferLearning
- Retinal Vasculometry Associations With Glaucoma: Findings From the European Prospective Investigation of Cancer–Norfolk Eye Study #OPTRetina
- Scaling Instruction-Finetuned Language Models #ZeroShotLearning
- Neural Radiance Fields (NeRFs), Explained #NERFS #Roberto
- ZeroCostDL4Mic: exploiting Google Colab to develop a free and open-source toolbox for Deep-Learning in microscopy #Democratization #DeepLearning
- Anomalib: A Deep Learning Library for Anomaly Detection #AnomalyDetection #PabloAscorbe library
- FastAI Concepts #FastAI
- TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation #DataAugmentation
- FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture #Depth #Segmentation #Roberto
- Introducing DOI: the Digital Object Identifier to Datasets and Models #DOIs
- Thermal Vision: Measuring Your First Temperature from an Image with Python and OpenCV #ImagenesTermicas #Zataca
- Introduction to Infrared Vision: Near vs. Mid-Far Infrared Images #ImagenesTermicas #Zataca
- AI Research Experiences Harvard CS197 #Phd
- CS197 Harvard: AI Research Experiences #PhD
- A tour of Modern Image Filtering #Filters #Denoising
- Discovering novel algorithms with AlphaTensor #MatrixMultiplication #ReinforcementLearning
- Quantum Deep Learning: A Quick Guide to Quantum Convolutional Neural Networks #QuantumComputing #DeepLearning
- The amazing power of “machine eyes” #Retina #OPTRetina
- Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 11 - Question Answering #QuestionAnswering #Psicologos
- The Illustrated Stable Diffusion #Diffusion
- Interpretable machine learning: moving from mythos to diagnostics #Interpretability
- Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification #Interpretability
- The Problem With Mental Health Bots #Chatbots
- Vision Transformers … is using them actually worth it? #Transformers
- Transformers Tutorials #Transformers #Tutorials
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset #ActionRecognition
- Transformers in production: solved #Inference
- Sentence Transformers #SemanticSearch #Embeddings
- OpenAI Whisper: Robust Speech Recognition via Large-Scale Weak Supervision | Paper and Code #SpeechRecognition
- News Summarization and Evaluation in the Era of GPT-3 #Summarization #TextoClaro
- How 🤗 Accelerate runs very large models thanks to PyTorch #HuggingFace #Inference
- SetFit: Efficient Few-Shot Learning Without Prompts #FewShotLearning #TextoClaro
- Robust Speech Recognition via Large-Scale Weak Supervision #SpeechRecognition #Gobierno
- Trustworthy ML #Resources #Fairness #Interpretability
- Find anything blazingly fast with Google’s vector search technology #SemanticSearch
- HayStack #SemanticSearch #Library
- Toy Models of Superposition #Interpretability
- Transformers #Transformers #Slides
- Git Re-Basin: Merging Models modulo Permutation Symmetries #ModelCombination
- What’s new in Diffusers? 🎨 #DiffusionModels #HuggingFace
- Long Stable Diffusion: Long-form text to images #Diffusion #ImageGeneration
- Document AI: Fine-tuning Donut for document-parsing using Hugging Face Transformers #HuggingFace #NLP #Recibos #Invoices
- Train your first Decision Transformer #Transformers #HuggingFace #ReinforcementLearning
- Object Detection - Single Shot Detector for fastai V2 #ObjectDetection #FastAI
- Transformers from Scratch #Transformers #NLP
- Grokking Stable Diffusion #StableDifussion
- Learn about ghapi, a new third-party Python client for the GitHub API #GitHub #Python
- Why do tree-based models still outperform deep learning on tabular data? #TabularData #Trees #NNs
- Open Source and Academia #OpenSource
- Pytorch to fastai, Bridging the Gap #Pytorch #FastAI
- Pytorch to fastai details #Pytorch #FastAI
- Rasa Open Source #Chatbots
- large language models for real world applications #nlp #LanguageModels
- How does Stable Diffusion work? – Latent Diffusion Models EXPLAINED #StableDifussion
- Deep Learning on Graphs #GraphNeuralNetworks #Book
- FastAI live coding #tips #tricks #basics
- Neural Machine Translation by Jointly Learning to Align and Translate #NLP #Translation
- Eastern European Guide to Writing Reference Letters
- Zotero #phd
- Natural Language Understanding Recap #NLP
- BlenderBot 3: A 175B parameter, publicly available chatbot that improves its skills and safety over time #ChatBot #NLP
- The Future of Speech Recognition: Where Will We Be in 2030? #SpeechRecognition #Comunidad
- Training an object detection model using Hugging Face #ObjectDetection #Transformers #HuggingFace
- StatsForecast Exponential Smoothing (ETS) #Forecasting #Zataca
- DEEP LEARNING COURSE #DeepLearning #Course
- How to write (and how not to write) a scientific review article #Phd
- Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification #MasterArista #ComputerVision
- A course in Time Series Analysis #TimeSeries #Zataca
- Stable Diffusion with 🧨 Diffusers #Diffusion #HuggingFace
- How to do research #phd
- Computer Vision and Deep Learning for Agriculture #agriculture #computervision #applications
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time #Ensemble
- using deep learning when class labels have an order #order
- [[https://joinup.ec.europa.eu/collection/catalogue-services/document/study-natural-language-processing-public-services
][Study: Natural Language Processing for Public Services]] #NLP #Comunidad
- sentence transformers #semanticsearch
- The AI Doctor is in #chatbot #healthcare
- Leakage and the Reproducibility Crisis in ML-based Science #Reproducibility #DataLeakage
- Formal Algorithms for Transformers #Transformers #Algorithms
- Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials #MultiModalLearning
- DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection #ObjectDetection #Transformers
- Leakage and the Reproducibility Crisis in ML-based Science #DataLeakage #Reproducibility
- Critical Dataset Studies Reading List #Datasets
- The Technology Behind BLOOM Training #HuggingFace #LanguageModels #Parallelism
- End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images #MultiTaskLearning #Glaucoma
- Multi-task deep learning for glaucoma detection from color fundus images #MultiTaskLearning #Glaucoma
- Explainable Machine Learning Model for Glaucoma Diagnosis and Its Interpretation #OPTRetina #Glaucoma
- More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity #Vision #CNNs
- YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors #ObjectDetection
- Ultimate-Awesome-Transformer-Attention #Attention #Vision
- No Doctor Required: Autonomy, Anomalies, and Magic Puddings #Ethics #AnomalyDetection
- Sentence transformers #SentenceEmbeddings #SemanticSearch #HuggingFace
- Predicting intraocular pressure using systemic variables or fundus photography with deep learning in a health examination cohort #IOP #OPTRetina
- tweetnlp #NLP
- computational social science course #MasterArista
- The Annotated Diffusion Model #Diffusion
- Announcing Evaluation on the Hub #HuggingFace #Evaluation
- Hugging Face Tasks #HuggingFace #MasterArista
- Review Classification using Active Learning #ActiveLearning
- Mining for strong gravitational lenses with self-supervised learning #SelfSupervisedLearning
- Decoder Denoising Pretraining for Semantic Segmentation #SemanticSegmentation #DifussionModels #Pretraining
- Denoising Diffusion-based Generative Modeling: Foundations and Applications #Denoising
- The best vision models for fine-tuning #FastAI #Timm
- Leveraging uncertainty information from deep neural networks for disease detection #OPTRetina #OutOfDistribution
- Diffusers #Diffusion #Huggingface
- TOP 10 PYTHON LIBRARIES FOR TIME SERIES ANALYSIS IN 2022 #Zataca #Forecasting
- JPX Tokyo Stock Prediction with NVIDIA-TSPP #Zataca #Forecasting
- Evaluating machine learning models and their diagnostic value #Evaluation
- Creating Confidence Intervals for Machine Learning Classifiers #ConfidenceIntervals #Statistics
- Introduction to Deep Learning #DeepLearning #Course
- When Does Contrastive Visual Representation Learning Work? #SelfSupervisedLearning
- Multi-Step LSTM Time Series Forecasting Models for Power Usage #Zataca #Forecasting
- CMU Multilingual NLP 2022 #MasterArista Videos
- Deep Learning for time series #Zataca #Forecasting Repository Example
- Tackling Climate Change with Machine Learning
- Cyclical Focal Loss #ImbalancedData
- UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes #ComputerVision
- Point Pattern Analysis #Innozone
- ACL 2022 Tutorial: Zero- and Few-Shot NLP with Pretrained Language Models #NLP
- [https://arxiv.org/abs/2112.13492[][Vision Transformer for Small-Size Datasets]] #Transformers #ComputerVision
- Huggingface 🤗 is all you need for NLP and beyond #NLP #MasterArista
- CS224n: Natural Language Processing with Deep Learning #NLP
- NLP+CSS 201 Tutorials #MasterArista
- Open source teaching and learning resources for computational social science #MasterArista
- Introduction to NLP with Python #NLP #MasterArista
- How to teach NLP to non-CS-majors in 2 weeks? #NLP #MasterArista
- AI Harms are Societal, Not Just Individual #Ethics
- PyTorch Forecasting #Zataca #Forecasting
- Tutorials for advanced natural language processing methods designed for computational social science research. #NLP #MasterArista
- A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities #FewShotLearning #Survey
- Text classification #NLP #MasterArista
- Neural Sheaf Diffusion for deep learning on graphs #GNNs #Topology
- A Generalist Agent #MultiModal
- Training Generative Adversarial Networks with Limited Data #GANs #Retina Code
- Hackaton NLP #NLP #Español #MasterArista
- Deep Learning in Neuroimaging #NeuroImaging
- Reinforcement Learning course #ReinforcementLearning HuggingFace
- Welcome fastai to the Hugging Face Hub #FastAI #HuggingFace
- How the AI industry profits from catastrophe #Ethics
- How to Deploy Object Detection Models on Android with Flutter #Deployment #HuggingFace #Mobile #Gradio
- Tackling multiple tasks with a single visual language model #ComputerVision #NLP
- Beyond interpretability: developing a language to shape our relationships with AI #interpretability
- Pix2Seq: A New Language Interface for Object Detection #objectdetection #nlp
- Artificial intelligence is creating a new colonial world order #Ethics
- Getting started with Kaggle, NLP and HuggingFace for absolute beginners #Kaggle #NLP
- Iterate like a grandmaster #Kaggle #NLP
- A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis #MedicalAI
- Monthly energy consumption forecast: A deep learning approach #Zataca
- Bridging the implementation gap of machine learning in healthcare #MedicalAI
- A Visual Survey of Data Augmentation in NLP #NLP #DataAugmentation
- Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting #TimeSeriesForecasting #Zataca
- Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks #TimeSeriesForecasting #Zataca
- Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting #TimeSeriesForecasting #Zataca
- Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study #Audit #ArtificialIntelligence #Medicine
- The medical algorithmic audit #Audit #ArtificialIntelligence #Medicine
- The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods #AnomalyDetection #OpenSet
- Math Behind Graph Neural Networks #GraphNeuralNetworks #TFGRaquel
- Stanford Graph Learning Workshop #GraphNeuralNetworks
- Deep Neural Nets: 33 years ago and 33 years from now #DeepLearning
- Fasterai: A library to make smaller and faster neural networks #Pruning #FastAI
- Making Deep Learning Go Brrrr From First Principles #GPUs
- Introducing Decision Transformers on Hugging Face 🤗 #ReinforcementLearning #HuggingFace
- AI ethics collection #Ethics
- IA y PLN, una apasionante encrucijada #NLP #MasterArista
- Attention to objects in peripheral vision is not driven by tiny eye movements #Vision
- Diffusion models explained. How does OpenAI’s GLIDE work? #DifussionModels
- MUESTREO DE DATOS: MUESTREO BASADO EN PERPLEJIDAD #NLP
- Traducción Automática con Eva Martínez Garcia - Hackathon de NLP en Español #TraduccionAutomatica #MasterArista #NLP
- Advice for students doing research projects in ML/NLP #MLProjects
- NLP Course #NLP #MasterArista
- Stanford Graph Learning Workshop #GraphNeuralNetworks
- BERT 101 🤗 State Of The Art NLP Model Explained #NLP #MasterArista
- Introduction to Graph Neural Network #GraphNeuralNetworks
- Do We Really Need Deep Learning Models for Time Series Forecasting? #TimeSeries #Zataca
- REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs #OPTRetina #Glaucoma
- How Do Vision Transformers Work? #Transformers #Vision
- CS224n: Natural Language Processing with Deep Learning #NLP #Course
- 🤗 Education Toolkit #HuggingFace #Course
- Building and Hosting Machine Learning Demos with Gradio & Hugging Face #Gracdio #HuggingFace
- BERT for Humanists #NLP #MasterArista
- Getting Started with PyTorch Image Models (timm): A Practitioner’s Guide #Timm
- Modern Deep Learning Techniques Applied to Natural Language Processing #NLP
- Computer Vision: Algorithms and Applications, 2nd ed. #ComputerVision
- Graph neural networks resources #GNNs
- UI Bakery RegEx Library #ExpresionesRegulares
- Estimating required sample size for model training #SampleSize #AP2122
- Advances and opportunities in image analysis of bacterial cells and communities #ImageAnalysis #CarmenLozano
- A guide to model calibration #Calibration
- Diffusion models are autoencoders #DiffusionModels
- A Good Representation Detects Noisy Labels #NoiseLabels #OPTRetina
- Emerging Properties in Self-Supervised Vision Transformers #Transformers #SelfSupervisedLearning
- Transformers in Medical Imaging: A Survey #Transformers #MedicalImaging
- Tips for Publishing Research Code #Reproducibility
- Rethinking Self-Supervised Learning: Small is Beautiful #SelfSupervisedLearning #SmallData
- Training Vision Transformers with Only 2040 Images #Transformers #SelfSupervisedLearning #SmallData
- Data Organization in Spreadsheets #Spreadsheets #Data
- How vectorization speeds up your Python code #Python #Vectorization
- AI in health and medicine #AI #Medicine
- The first high-performance self-supervised algorithm that works for speech, vision, and text #SelfSupervisedLearning #MultiModality #Vision #Text #Sound
- Robust Speech Challange #SpeechRecognition #HuggingFace #Gobierno
- Self-Supervised Learning Advances Medical Image Classification #SelfSupervisedLearning #ImageClassification
- Deep Learning for Recommender Systems: A Netflix Case Study #RecommendationSystems
- Intro to graph neural networks (ML Tech Talks) #GNN
- 2.7. Novelty and Outlier Detection #AnomalyDetection #Sklearn
- MLOPS: A COMPLETE AND HANDS-ON INTRODUCTION Part2 #MLOPS
- Interpretable Machine Learning #Interpretability
- Transferability in Deep Learning: A Survey #TransferLearning
- Introducing StylEx: A New Approach for Visual Explanation of Classifiers #Explainability
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets #SmallDatasets #Overfitting
- FFCV: an Optimized Data Pipeline for Accelerating ML Training #Fast #LibraryTraining
- HuggingFace Tasks
- Transformers Explained Visually — Not Just How, but Why They Work So Well #Transformers
- An Introduction to AutoEncoders #AutoEncoders
- Hugging Face Machine Learning for Audio Study Group #Audio
- Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning #ModelEvaluation #DatasetSplit
- Open-Set Recognition: A Good Closed-Set Classifier is All You Need #OpenSetRecognition #
- A Light in the Dark: Deep Learning Practices for Industrial Computer Vision #ComputerVision #Industry
- Anomaly Detection with Isolation Forest and Kernel Density Estimation #AnnomalyDetection
- Auditing Algorithms Understanding Algorithmic Systems from the Outside In #Ethics #Audits #Bikolabs
- Maximising Differential Entropy to Solve Wordle #Algorithms
- Huggingface blog #HuggingFace
- Train a Vision Transformer on small datasets #Transformers #SmallDataset
- Boosting Wav2Vec2 with n-grams in 🤗 Transformers #Audio #GobiernoRioja
- HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning #FewShotLearning
- Awesome Gradio Demos #Gradio #Demos
- Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning #TransferLearning
- A ConvNet for the 2020s #ComputerVision #CNNs
- Gradio + HuggingFace Spaces: A Tutorial #HuggingFace #Gradio
- Continual Learning in Deep Networks: an Analysis of the Last Layer #ContinualLearning
- https://elvissaravia.substack.com/p/my-recommendations-for-getting-started #NLP
- transfer learning for medical imaging #TransferLearning #MedicalImaging
- Diffusion Models and Score-matching Models #DiffusionModels
- Distributed Learning FastAI #DistributedLearning #FastAI
- VOLO: Vision Outlooker for Visual Recognition #Transformer #ImageClassification
- MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification #Datasets #ImageClassification #Master
- Generalized Out-of-Distribution Detection: A Survey #OutOfDistribution #AnomalyDetection #Survey
- Persformer: A Transformer Architecture for Topological Machine Learning #TDA #Transformers #Interpretability
- AugMax explained #DataAugmentation
- The Illustrated Retrieval Transformer #Transformer #LanguageModel
- EINSUM IS ALL YOU NEED - EINSTEIN SUMMATION IN DEEP LEARNING #MatrixOperations
- WHAT IS TORCH.NN REALLY? #Pytorch #Tutorial
- Palette: Image-to-Image Diffusion Models #DIffusionModels #ImageTranslation
- A Survey of Self-Supervised and Few-Shot Object Detection #ObjectDetection #FewShotLearning #Survey
- Training Machine Learning Models More Efficiently with Dataset Distillation #DatasetDistillation #Sevilla
- The case for open code #OpenScience
- Active Learning #ActiveLearning
- A Mathematical Framework for Transformer Circuits #Transformers
- Deep Learning course for Vision #ComputerVision #DeepLearning #Course
- Unsupervised Domain Adaptation in Semantic Segmentation: a Review #DomainShift #SemanticSegmentation
- ADL4CV:DV - Semi-Supervised Learning #SemiSupervisedLearning
- A VISUAL INTRODUCTION TO MACHINE LEARNING
- The Bates LaTeX Manual #Latex
- Hugging Face Course Event #HuggingFace #NLP #Course
- RoBERTuito: a pre-trained language model for social media text in Spanish #NLP #Spanish
- A Call to Build Models Like We Build Open-Source Software #Reproducibility #MLOPs
- CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning #BioImage #Dataset
- Scientific Visualization: Python + Matplotlib #Visualization
- Open Domain Question Answering #NLP #QuestionAnswering
- Three mysteries in deep learning: Ensemble, knowledge distillation, and self-distillation #Ensemble #Distillation
- LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment #CellDetection #Athento
- Extrapolating from a Single Image to a Thousand Classes using Distillation #Ðistillation
- Language modelling at scale: Gopher, ethical considerations, and retrieval #LanguageModel #NLP
- Introducing the 🤗 Data Measurements Tool: an Interactive Tool for Looking at Datasets #Datasets
- Are We Learning Yet? A Meta-Review of Evaluation Failures Across Machine Learning #MachineLearning #Metrics #Failures
- The false hope of current approaches to explainable artificial intelligence in health care #Explainability #Healthcare
- Believing in black boxes: machine learning for healthcare does not need explainability to be evidence-based #Explainability #Healthcare
- Practical Differentially Private Clustering #DifferentialPrivacy #Clustering
- Model Ensembles Are Faster Than You Think #Ensemble
- AutoAlbument #DataAugmentation
- Are Transformers More Robust Than CNNs? #Transformers #CNNs #Robustness
- Deep limitations? Examining expert disagreement over deep learning #DeepLearning #AGI
- Transformers in computer vision: ViT architectures, tips, tricks and improvements #Transformers #ComputerVision
- On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models #Datasets
- Reflections on Foundation Models
- Avoiding a replication crisis in deep-learningbased bioimage analysis #DeepLearning #Microscope #Metrics
- Baselines for Uncertainty and Robustness in Deep Learning #Robustness
- DeepSpeech for Dummies - A Tutorial and Overview #Audio #Gobierno
- Self-supervised Learning is More Robust to Dataset Imbalance #SelfSupervisedLearning #DatasetImbalance #OPTRetina
- STOP: Estudiando problemas mentales en redes sociales mediante Inteligencia Artificial
- Multiplying Matrices Without Multiplying #MatrixMultiplication #DeepLearning
- Self-Supervised Learning Advances Medical Image Classification #SelfSupervisedLearning #MedicalImaging Paper
- Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection #CycleGAN #OutOfDomain
- Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation #VideoSegmentation
- Societal Impacts of NLP #NLP #Ethics
- Does Your Dermatology Classifier Know What It Doesn’t Know? Detecting the Long-Tail of Unseen Conditions #OutlierDetection #OPTRetina
- Patches Are All You Need? #CNNs #Classification
- Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study #AnomalyDetection #Retina
- One-Class Classification Algorithms for Imbalanced Datasets #OneClassClassification
- Extreme clicking for efficient object annotation #ObjectDetection #Annotation
- Revisiting Mask-Head Architectures for Novel Class Instance Segmentation #SemanticSegmentation
- DeepImageJ: A user-friendly environment to run deep learning models in ImageJ #Adrián #ImageJ
- Learning From Almost No Data #Sevilla #DataDistillation
- ResNet strikes back: An improved training procedure in timm #ImageClassification #TrainingTricks
- Handwriting recognition #HandwritingRecognition #IER
- Improving Object Detection by Label Assignment Distillation #ObjectDetection #Distillation
- Revisiting Mask-Head Architectures for Novel Class Instance Segmentation #InstanceSegmentation
- SAHI: A vision library for large-scale object detection & instance segmentation #ObjectDetection
- Investigating Bias in Image Classification using Model Explanations #Bias #Interpretability
- Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) #Interpretability
- Machine Learning Security / Adversarial Machine Learning #MachineLearning #Security
- Pix2seq: A Language Modeling Framework for Object Detection #ObjectDetection
- PRIVATE AI: MACHINE LEARNING ON ENCRYPTED DATA #Privacy
- Hugging Face Infinity #HuggingFace #Inference #RealTime
- Soft-Label Dataset Distillation and Text Dataset Distillation #Distillation #Sevilla
- Dataset Distillation #Distillation #Sevilla
- End-to-End Semi-Supervised Object Detection with Soft Teacher #SemiSupervisedLearning #ObjectDetection
- Toward Fast and Accurate Neural Networks for Image Recognition #ImageClassification
- TinyML models — what happens behind the scenes #CompactNetworks
- Altair #DataVisualization
- Training StyleGAN2 ADA PyTorch Images with Low GPU Memory NVIDIA #GAN
- Contrastive Representation Learning #ContrastiveLearning
- Methods for Automating Learning Rate Finders #LearningRate #FastAI Suggestion Methods
- Per-Pixel Classification is NOT All You Need for Semantic Segmentation #SemanticSegmentation
- Computational Imaging #Imaging
- Introduction to Intel OpenVINO Toolkit #Quantization
- HuggingFace Datasets #Datasets #NLP
- Read the Docs #Documentation #SemTorch
- Why you should not rely on t-SNE, UMAP or TriMAP #DimensionalityReduction #PaCMAP
- Made with ML #MLOps
- Everything you need to know about TorchVision’s MobileNetV3 implementation #CompactNetworks
- How I failed machine learning in medical imaging - shortcomings and recommendations #MedicalImaging
- Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course #MachineLearning #Teaching
- Ver “ICLR 2021 Keynote - “Geometric Deep Learning: The Erlangen Programme of ML” - M Bronstein” en YouTube #GeometricDeepLearning #GraphNeuralNetworks
- The Annotated DETR #ObjectDetection #Transformers
- Self-supervised learning: The dark matter of intelligence #
- All The Free ML/AI Courses Launched At Google I/O #Courses #Tensorflow #Edge
- A Systematic Approach to Generation of New Ideas for PhD Research in Computing - ScienceDirect #Thesis #Ideas
- How to avoid machine learning pitfalls: a guide for academic researchers #Recommendations
- Deciphering Ancient Texts with AI #IER #AncientDocuments #OCR
- On hyperparameter optimization of machine learning algorithms: Theory and practice #HyperparameterTuning #Survey
- Deep Learning for AI #DeepLearning #Challenges
- Applications of Deep Neural Networks with Keras #Book #Keras
- PonderNet: Learning to Ponder #Pondering
- CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation #DataAugmentation #SemanticSegmentation
- Pitfalls in Machine Learning Research: Reexamining the Development Cycle #MachineLearning #Recommendations
- HugsVision #ComputerVision #Transformers
- An Introduction to Confident Learning: Finding and Learning with Label Errors in Datasets #ConfidentLearning
- Bad Labels #BadLabels #ActiveAnnotation #OPTRetina CleanLAB
- Active label cleaning: Improving dataset quality under resource constraints #Annotation #MedicalImaging #OPTRetina
- Fundamentals of MLOps | A Gentle Introduction to MLOps Parte 1 Parte 2 Parte 3 Parte 4
- A Gentle Introduction to Graph Neural Networks #GraphNeuralNetworks
- Applications of Deep Neural Networks with Keras
- Deep Learning for AI #Challenges #GodFathers
- Manim Community Overview #Visualization #Animation
- Reading Race: AI Recognizes Patient’s Racial Identity In Medical Images #Ethics #MedicalAI
- AI has the worst superpower… medical racism #Ethics #MedicalAI
- Practical Test Pyramid #DDD #TDD #Tests
- Data Cascades in Machine Learning #Data
- Introducing Triton: Open-Source GPU Programming for Neural Networks #GPUs #CUDA
- Grokking self-supervised (representation) learning: how it works in computer vision and why #SelfSupervisedLearning
- AugLy: A new data augmentation library to help build more robust AI models #DataAugmentation
- How I failed machine learning in medical imaging - shortcomings and recommendations #MedicalImaging
- A Survey of Topological Machine Learning Methods #TDA
- Robustness Metrics
- Industry and Academic Research in Computer Vision #ComputerVision
- On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? #NLP #Ethics
- How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers #Transformers #Tricks
- Identifying Mislabeled Instances in Classification Datasets #DataCleaning
- PyInstaller – How to Turn Your Python Code into an Exe on Windows #Pyinstaller
- A preliminary study of Croatian Language Syllable Networks #NLP #Arista
- Realistic Evaluation of Deep Semi-Supervised Learning Algorithms #SemiSupervisedLearning
- Causality matters in medical imaging #Causality
- Computer Vision and the Global Goals
- ReMix Training for Calibrated Imbalanced Deep Learning #ImbalanceData
- AdaMatch: A Unified Approach to Semi-SupervisedLearning and Domain Adaptation #SemiSupervisedLearning #DomainAdaption
- A systematic study of the class imbalance problemin convolutional neural networks #DataImbalance
- Survey on deep learning with class imbalance #DataImbalance
- A Journey Through Fastbook (AJTFB) - Chapter 5 #FastAI
- A Survey of Topological Machine Learning Methods #TDA
- Best practices in machine learning for chemistry
- Fasterai: A library to make smaller and faster neural networks #Pruning #FastAI
- Next-Generation Pose Detection with MoveNet and TensorFlow.js #PoseDetection #Skeletons #RobertoMarani
- Taller MLOps: desplegando servicios en producción #MLOps
- All the segmentation metrics! #Segmentation #Metrics
- Algorithmic Accountability and the Role ofProvenance
- FastAI concepts #FastAI
- Medical image segmentation with TorchIO, MONAI & PyTorch Lightning #Segmentation #3D
- Flat Data #MLOps
- Challenges of Advanced AutoML - Determined AI #AutoML
- The InfoNCE loss in self-supervised learning #SelfSupervisedLearning
- Measuring hidden phenotype: Quantifying the shape of barley seeds using the Euler Characteristic Transform #PlantPhenotyping #TDA
- Interpretable Machine Learning: FundamentalPrinciples and 10 Grand Challenges #Interpretability
- (Deep) Learning with Limited Labeled Data (DL3D) #SemiSupervisedLearning
- S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning #SelfSupervision #ReinforcementLearning
- ConViT: Improving Vision Transformerswith Soft Convolutional Inductive Biases #Transformers #ImageClassification
- Requirement Engineering Challengesfor AI-intense Systems Development #HumanCentered #Requirements
- Are Pre-trained Convolutions Better than Pre-trained Transformers? #Convolutions #Transformers #TransferLearning #NLP
- A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models for end to end tasks #NLP #FastAI
- Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach #HumanCenteredAI
- Towards Human-Centered Explainable AI: the journey so far #HumanCenteredAI
- Structured dataset documentation: a datasheet for CheXpert #Datasets #Datasheet
- Learning to Resize in Computer Vision #Resize #Tips
- Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach #HumanCentered #Explanaible
- Machine Learning, Ethics, and Open Source Licensing (Part II/II) #Ethics #Licenses
- RandAugment - Practical automated data augmentation with a reduced search space #DataAugmentation #RandAugment
- Revisiting ResNets: Improved Training and Scaling Strategies #Resnet #TrainingStrategies
- MLP-Mixer: An all-MLP Architecture for Vision #ComputerVision #NLP
- Geometric Deep LearningGrids, Groups, Graphs,Geodesics, and Gauges #GeometricDeepLearning
- Artificial intelligence in retina #Retina #OPTRetina
- Reproducible Deep Learning #Reproducible #MLOps
- Machine Learning, Ethics, and Open Source Licensing #Ethics
- PseudoSeg: Designing Pseudo Labels for Semantic Segmentation #SemiSupervisedLearning #Segmentation
- Emerging Properties in Self-Supervised Vision Transformers #Transformers #SelfSupervisedLearning
- Please Stop Doing “Explainable” ML - Cynthia Rudin #Interpretability
- Explainable AI Cheat Sheet #Interpretability
- Zero-Shot Detection via Vision and Language Knowledge Distillation #ZeroShot #ObjectDetection
- Do We Really Need to Access the Source Data? Source Hypothesis Transfer forUnsupervised Domain Adaptation #DomainShift #DomainTransfer
- Lecture 10: Testing & Explainability #Testing #Explainability
- SiT: Self-supervised vIsion Transformer #SelfSupervised #Transformers
- How UMAP Works #UMAP
- Understanding UMAP #UMAP #DimensionalityReduction
- MIT 6.S191: Taming Dataset Bias via Domain Adaptation #DomainAdaption #DomainShift
- Testing & Explainability #Testing #MLOPs
- Avalanche: an End-to-End Library for Continual Learning #ContinualLearning #Library #SEPARA
- Read/write/show images and videos in an IPython/Jupyter notebook #Visualization #Jupyter #Library
- Factors of Influence for Transfer Learning acrossDiverse Appearance Domains and Task Type #TransferLearning
- CS 329S: Machine Learning Systems Design #MLOPS #Course
- Hybrid Graph Convolutional Network forSemi-Supervised Retinal Image Classification #Retina #SemiSupervisedLearning
- Is it Enough to Optimize CNN Architectures on ImageNet? #ImageClassification
- A Simple Walk-through with Matplotlib for Data Science #DataVisualization
- Computational Algebraic Topology Lecture Notes #AlgebraicTopology
- The value of a shared understanding of AI models #ModelCards #Datasets
- Why you need to improve your training data, and how to do it #ProyectoSEPARA #Data
- ML in industry #ProyectoSEPARA
- Tutorial: JAX 101 #JAX
- My dataset doesn’t consist of 3-channel images - what now? #MultiSpectralImages #ProyectoSEPARA
- Self-supervised Pretraining of Visual Features in the Wild #SelfSupervisedLearning
- Awesome MLOPs #MLOPS #Repository
- Self-supervised learning: The dark matter of intelligence #SelfSupervisedLearning library.
- D2Go brings Detectron2 to mobile #Detectron #Mobile #ProyectoSepara
- Quantitative Plant #Plants #Software #Repository
- Recent Advances in Language Model Fine-tuning
- How to represent part-whole hierarchies in a neural network #RepresentationLearning
- AI-based mobile application tofight antibiotic resistance #Antibiotics #AntimicrobialResistance
- LambdaNetworks: Modeling Long-Range Interactions Without Attention #ImageClassification
- Unbiased Teacher for Semi-Supervised Object Detection #ObjectDetection #SemiSupervisedLearning
- Stylegan Components #StyleGAN
- MMDetection and IceVision #MMDetection #Icevision
- High-Performance Large-Scale Image Recognition Without Normalization #ImageClassification
- Training Vision Transformers for Image Retrieval #Transformers #ImageRetrieval
- Clinical-grade computational pathology using weakly supervised deep learning on whole slide images #WeaklySupervised #Zaragoza
- Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks #CycleGAN
- Going Deep in Medical Image Analysis:Concepts, Methods, Challenges and FutureDirections #MedicalImaging
- Simple explanation of disentanglement ft. cute doggos & state-of-the-art work #Disentanglement
- Induction, Inductive Biases, and Infusing Knowledge into Learned Representations #RepresentationLearning
- Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks #DataAugmentation #Segmentation #CycleGAN
- NLP resources #NLP #Tutorials #Videos
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation #Felix #Segmentation repository
- Robust artificial intelligence tools to predict future cancer #MedicalImaging #Robustness
- Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy #Segmenation #MedicalImaging
- Long-Range Seasonal Forecasting of 2m-Temperature with Machine Learning (Papers Track) #ClimateChante #ML
- Datasets papers with code #Datasets
- LogicGamesSolver— How to solve logic games using Computer Vision and Artificial Intelligence #ComputerVision #Sudoku #IA
- Bottleneck Transformers for Visual Recognition #Transformers #CNN
- The Missing Semester of Your CS Education #ComputerScience #Lectures
- How to Implement a Semi-Supervised GAN (SGAN) From Scratch in Keras #SemiSupervisedLearning #GANs
- Towards Open Set Deep Networks #OpenSetRecognition
- Seq-NMS for Video Object Detection #VideoObjectDetection
- VinVL: Advancing the state of the art for vision-language models #VisualLanguageModels
- A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit #ObjectDetection #Metrics #Evaluation
- An Improvement of Object Detection Performance using Multi-step Machine Learnings #ObjectDetection
- CS 329S: Machine Learning Systems Design #MLOps
- Best deep CNN architectures and their principles: from AlexNet to EfficientNet #CNNs
- Awful AI #IA #Ethics #Misuses
- How Does Mixup Help With Robustness and Generalization? #MixUp #DataAugmentation
- CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation #MedicalImaging #TransferLearning
- Fit More and Train Faster With ZeRO via DeepSpeed and FairScale #NLP #Transformers #Efficiency
- Evaluating the Disentanglement of Deep Generative Models through Manifold Topology #TDA
- Big Self-Supervised Models Advance Medical Image Classification #SelfSupervisedLearning #MedicalImaging
- Deep learning doesn’t need to be a black box #Interpretability
- Microsoft Releases Unadversarial Examples: Designing Objects for Robust Vision – A Complete Hands-On Guide #AdversarialExamples
- Scaled-YOLOv4: Scaling Cross Stage Partial Network #YOLO #ObjectDetection
- Keras Code examples #Keras #Samples
- CowMask — Data Augmentation for Self-Supervised Models #SemiSupervisedLearning
- A systematic study of the class imbalance problem in convolutional neural networks #CNNs #ImbalancedData
- The Complete Python Development Guide #Python
- Using GitHub Actions for MLOps & Data Science #MLOps
- Computational Algebraic Topology #ComputationalAlgebraicTopology #Course #TDA
- Deep learning-enabled medical computer vision #MedicalImaging
- Transformers in Vision: A Survey #Transformers #ComputerVision
- Yet Another Computer Vision Index To Datasets (YACVID) #Datasets
- Meta Pseudo Labels #SemiSupervisedLearning
- dalex: Responsible Machine Learning in Python #Explanability #Interpretability
- Semi-Supervised Learning With Label Propagation #SemiSupervisedLearning #LabelPropagation
- CLIP: Connecting Text and Images #OpenAI #ImageClassification #SelfSupervisedLearning
- MLOps: Continuous Delivery forMachine Learning on AWS #MLOPs
- Multiple Document Datasets Pre-training ImprovesText Line Detection With Deep Neural Networks #Athento #DocumentAnalysis #HistoricalDocuments
- Training data-efficient image transformers& distillation through attention #Distillation #Transformers #ComputerVision
- Extracting Training Data from Large Language Models #NLP
- Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation #DataAugmentation #SemanticSegmentation
- Measuring Robustness to Natural Distribution Shifts in Image Classification #DomainShift #Robustness
- Visualization of Self-Attention Maps in Vision #Interpretability #Attention
- DiCENet: Dimension-wise Convolutions for Efficient Networks #EfficientNetworks #Mobile
- Calibrating Deep Neural Networks using Focal Loss #Miscalibration #Loss
- https://ethics-of-ai.mooc.fi/start #Mooc #Ethics
- Open Graph Benchmark #Datasets #GraphNeuralNetworks #Benchmark
- Wilds: A Benchmark of in-the-Wild Distribution Shifts #DomainShift #Manuel Webpage
- Shortcut Learning in Deep Neural Networks #Robustness #Transferability #DomainShift
- Impact of Accuracy on Model Interpretations #Interpretability #LIME #SHAP #Mareas
- GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images #ColourNormalisation #StyleTransfer
- OneNet: Introduction to End-to-End One-Stage Object Detection #ObjectDetection
- ResNeSt: Split-Attention Networks #ImageClassification
- My experience with TensorFlow Quantum #Tensorflow #QuantumComputing
- Resources Graph Neural Networks #GraphNeuralNetworks
- A Gentle Introduction to Deep Learning for Graphs #GraphNeuralNetworks
- CoMatch: Advancing Semi-supervised Learning with Contrastive Graph Regularization #SemiSupervisedLearning #ContrastiveRegularization
- High Performance Natural Language Processing #NLP
- Nbdev: A literate programming environment that democratizes software engineering best practices #NBDev #JupyterNotebooks #FastAI
- Getting started with giotto-tda #TDA
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation #Segmentation #AutoML
- As good as new. How to successfully recycle English GPT-2 to make models for other languages #NLP #GPT
- Unsupervised part representation by Flow Capsules #Capsules #SelfSupervisedLearning
- Unofficial Walkthrough of Vision Transformer #Colab #Transformers #ComputerVision
- Understanding Knowledge Distillation #SemiSupervisedLearning #SelfSupervised #Distillation
- Why Skin Lesions are Peanuts and Brain Tumors Harder Nuts ~ T. Kooi #MedicalImaging #ScarceData
- Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies ~ L. Oakden-Rayner #Evaluation
- Energy and Policy Considerations for Deep Learning in NLP ~ E. Strubell #Energy
- You Can’t Escape Hyperparameters and Latent Variables: Machine Learning as a Software Engineering Enterprise ~ C. Isbell #Neurips #Keynote #Bias #SoftwareEngineering
- Estrategia Nacional de Inteligencia Artificial #IA #Moncloa
- Using AutoEncoders with Tabular Data (Intermediate) #FastAI #TabularData #AutoEncoders
- https://arxiv.org/pdf/2010.05234.pdf #GraphNeuralNetworks
- Multi-Modal Super Resolution for DenseMicroscopic Particle Size Estimation #SuperResolution #GAN #ObjectDetection
- Pruning Neural Networks at Initialization: Why are We Missing the Mark? #Prunning
- GANs with Keras and TensorFlow #Pyimagesearch #GANs
- OpenCV Super Resolution with Deep Learning #Pyimagesearch #SuperResolution #OpenCV
- Deep-learning-in-cloud #Resources #DeepLearning #Cloud
- How to extract Key-Value pairs from Documents using deep learning #Forms #Athento
- Unravelling the effect of data augmentation transformations in polyp segmentation #DataAugmentation #SemanticSegmentation
- The Narrated Transformer Language Model #NLP #Transformer
- Representation Learning via Invariant Causal Mechanisms #SelfSupervisedLearning
- Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges #Interpretability
- The ultimate guide to Encoder Decoder Models 1/4 2/4 3/4 4/4 #NLP Transformers
- Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images #VAE #GenerativeModels
- Long Range Arena : A Benchmark for Efficient Transformers #Transformers #NLP
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale #Transformers #ImageClassification
- Principles and Practice of Explainable Machine Learning #Explanability
- Neural Network Verification for the Masses #TheoremProving #NeuralNetworks #Verification
- Deploy FastAI Trained PyTorch Model in TorchServe #FastAI #Deployment
- Deep learning approach for automatic microplastics counting and classification #Plastics #Segmentation #Classification
- Persistent homology advances interpretable machine learning fornanoporous materials #TDA #PersistentHomology
- Attentive Normalization #Normalization
- Topological Data Analysis of Temporal Networks #TDA
- Extracting campaign finance data from gnarly PDFs using deep learning ~ J. Stray #Forms #Athento
- DeepForm: Understand Structured Documents at Scale #Forms #Athento
- Weights and bias benchmarks #Datasets
- DeepForm: Extract Information from Documents #Dataset #Forms #Athento
- To apply AI for good, think form extraction ~ J. Stray #Forms #Athento
- Machine Learning for Healthcare #Healthcare #Course
- The importance of transparency and reproducibility in artificialintelligence research #Reproducibility
- Using Variational Autoencoder (VAE) to Generate New Images #VAE
- Self-training and Pre-training are Complementary for Speech Recognition #SelfTraining #SpeechRecognition #PseudoLabeling
- https://itsfoss.com/use-onedrive-linux-rclone/
- How to extract structured data from invoices #Invoices #Athento
- Semi Supervised Semantic Segmentation Using Generative Adversarial Network #SemanticSegmentation #SemiSupervisedLearning #GANs
- PseudoSeg: Designing Pseudo Labels for Semantic Segmentation #PseudoLabeling #SemanticSegmentation #SemiSupervisedLearning
- Algorithm Unrolling: Interpretable, Efficient DeepLearning for Signal and Image Processing #Interpretability
- La historia que cuentan nuestros tests #TDD
- Adversarial images and attacks with Keras and TensorFlow ~ A. Rosebrog #Pyimagesearch #AdversialAttacks
- CRISP Data Mining Methodology Extension for Medical Domain #CRISPDM #Heidi #Medicine
- Adapting CRISP-DM for Idea Mining #CRISPDM #Heidi
- CRISP-DM 1.0 #CRISPDM #Heidi
- CRISP-DM: Towards a Standard Process Model for Data Mining ~ R. Wirth #CRISPDM #Heidi
- ‘Less Than One’-Shot Learning: Learning N Classes From M<N Samples ~ I. Sucholutsky #FewShotLearning
- LambdaNetworks: Modeling long-range Interactions without Attention #ComputerVision #ImageClassification
- Interactive Tools for ML, DL and Math #InteractiveTools
- Creating Clear and Informative Image-based Figures forScientific Publications ~ H. Hambor #Images
- 1Deep-LUMEN Assay – Human lung epithelial spheroid classification from brightfield images using deep learning ~ L. Abdul #Detection #Spheroids #Tumours
- Towards Ghost-free Shadow Removal ~ X. Cun #ShadowRemoval #GANs notebook
- Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data ~ X. Hu #ShadowRemoval #CycleGAN
- A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch ~ E. Riba #ComputerVision #DeepLearning
- FBNet: Hardware-Aware Efficient ConvNet Designvia Differentiable Neural Architecture Search ~ B. Wu #FBNet #Mobile
- Pseudo-Labeling for Small Lesion Detection onDiabetic Retinopathy Images ~ Q. Chen #DiabeticRetinopathy #PseudoLabeling #ObjectDetection #SemiSupervisedLearning
- Communicating with Interactive Articles ~ F. Hohman #Distill
- What is an agent? ~ A. Harutyunyan #ArtificialIntelligence
- Helsinki and Amsterdam first cities in the world to launch open AI register #Cities #ArtificialIntelligence
- GenForce Lib for Generative Modeling #GANs
- UPIT -a package for unpaired img2img translation #Image2Image #CycleGAN
- Aleatoric uncertainty estimation with test-time augmentation for medical imagesegmentation with convolutional neural networks ~ G. Wang #TTA #SemanticSegmentation
- Test-time augmentation for deep learning-based cell segmentation on microscopy images ~ N. Moshk #TestTimeAugmentation #SemanticSegmentation
- Meta-Learning: Learning to Learn Fast ~ L. Weng #MetaLearning
- Semi-supervised semantic segmentationneeds strong, varied perturbations ~ G. French #SemiSupervisedLearning #SemanticSegmentation
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty ~ D. Hendrycks #DataAugmentation
- CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features ~ S. Yun #DataAugmentation
- The Hardware Lottery ~ S. Hooker #Essay #Hardware #DeepLearning
- The Next Step Toward Improving AI ~ B. Dickson #Interpretability
- Array programming with NumPy ~ C. Harris #Numpy
- Slide-free MUSE Microscopy to H&E Histology Modality Conversionvia Unpaired Image-to-Image Translation GAN Models ~ T. Abraham #GANs #StyleTransfer
- Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery ~ E. Nemni #Fastai #Lidar #Copernicus
- A bird’s-eye view of deep learning in bioimage analysis ~ E. Meijering #DeepLearning #Bioimaging #Survey #AutoML
- Connecting optical morphology, environment, and HI mass fraction for low-redshift galaxies using deep learning ~ J. Wu #Galaxies #FastAI
- Data is plural ~ J. Singer-Vine #Datasets
- A Survey of Deep Active Learning ~ P. Ren #ActiveLearning
- How Close Are Computers to Automating Mathematical Reasoning? ~ S. Ornes #ITP
- Library reports #Libraries
- CVPR 2020: A Snapshot ~ Y. Ouali #Summarcy #CVPR
- ECCV 2020: Some Highlights ~ Y. Ouali #Summarcy #ECCV
- Visualizing Model Comparison ~ S. Abnar #ModelComparison
- On the Merits of Recurrent Inductive Bias ~ S. Abnar #NLP #Bias
- Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning ~ T. Dettmers #GPUs
- fastai4GLAMS study group ~ davastrien #Datasets #Museums #ObjectDetection #Classification #Athento
- Artificial Intelligence and Digital Heritage: Challenges and Opportunities - ARTIDIGH 2021 ~ Conference #ArtificialIntelligence #Museums
- Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark ~ M. Hanussek #AutoML
- An Overview of Deep Semi-Supervised Learning ~ Y. Ouali #SemiSupervisedLearning #Review
- Semi-Supervised Semantic Segmentation with Cross-Consistency Training ~ Y. Ouali #SemanticSegmentation #SemiSupervisedLearning
- Awesome Semi-Supervised Learning ~ Y. Ouali #SemiSupervisedLearning #CuratedList
- Color-to-Grayscale: Does the Method Matter in Image Recognition? ~ C. Kanan #ImageUnderstanding
- Curriculum Labeling: Self-paced Pseudo-Labeling forSemi-Supervised Learning ~ P. Cascante-Bonilla #CurriculumLearning #SemiSupervisedLearning
- https://sites.google.com/view/di2019/home #Athento #DocumentAnalysis #Workshop
- LayoutLM: Pre-training of Text and Layout for Document Image Understanding ~ Y. Xu #Transformers #DocumentAnalysis #FormUnderstanding #FUNSD Repository
- COMPETITION ON SCIENTIFIC LITERATURE PARSING ~ ICDAR #Athento #Competitions
- DocBank: A Benchmark Dataset for Document Layout Analysis ~ M. Li #DocumentAnalysis #Dataset
- A Framework For Contrastive Self-SupervisedLearning And Designing A New Approach ~ W. Falcon #SelfSupervisedLearning #ContrastiveLearning
- The Reformer - Pushing the limits of language modeling ~ P. von Platen #NLP #Reformer #HuggingFace
- MimicDet: Bridging the Gap BetweenOne-Stage and Two-Stage Object Detection ~ X. Lu #ObjectDetection #ECCV
- ForkGAN: Seeing into the Rainy Night ~ Z. Zheng #DomainTranslation #Detection #ECCV
- Improving Object Detection withSelectiveSelf-Supervised Self-Training ~ Y. Li #SelfSupervisedLearning #ObjectDetection #ECCV
- Syllabus for Eric’s PhD students ~ E. Gilbert #Advice #PhDStudents
- Table Structure Recognition using Top-Downand Bottom-Up Cues ~ S. Raja #Athento #TableStructure
- Graph Representation Learning ~ W. Hamilton #GraphRepresentationLearning #Book
- SIIM-ISIC Melanoma Classification - my journey to a top 5% solution and first silver medal on Kaggle ~ A. Arora #ImageClassification #Tips
- CascadeTabNet: An approach for end to end table detection and structurerecognition from image-based documents ~ D. Prasad #TableSegmentation #TableDetection #Athento Repository
- TIDE: A General Toolbox for Identifying Object Detection Errors ~ D. Bolya #Evaluation #Object Detection
- Not All Unlabeled Data are Equal:Learning to Weight Data in Semi-supervised Learning ~ Z. Ren #SemiSupervisedLearning
- Privacy-Preserving Data Science, Explained ~ E. Bluenke #Privacy
- Practical data ethics ~ R. Thomas #Ethics #Data
- Reconciling modern machine learning and the bias-variance trade-off (video) ~ Y. Kilcher #BiasVarianceTradeoff
- AutoML: powering the new human-machine learning ecosystem ~ Mihaela van der Schaar #AutoML
- GitHub is the best AutoML you will ever need ~ M. Ali #GitHub #MLOps
- Neural Style Transfer for Augmenting Medical Data ~ A. Yang #StyleTransfer #MedicalImaging
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ~ A. Arora #EfficientNet #ImageClassification
- Unsupervised Learning of Visual Features by Contrasting Cluster Assignments ~ A. Nain #SelfSupervisedLearning
- How Do Data Scientists Create High-Quality Training DataSets For Computer Vision ~ V. Chawla #Datasets #ComputerVision
- Imaging methods are vastly underreported in biomedical research ~ G. Marques #Imaging #Reproducibility
- 12 Papers You Should Read to Understand Object Detection in the Deep Learning Era ~ E. Yanjia Li #ObjectDetection
- How GPT3 Works - Visualizations and Animations ~ J. Alamar #GPT3 #NLP
- PP-YOLO Surpasses YOLOv4 — Object Detection Advances ~ J. Solawetz #PPYolo #ObjectDetection #PaddlePaddle
- Awesome Deep Learning Project Ideas ~ NirantK #DeepLearning #Projects
- MLOps Tutorial Video 1 Video 2 Video 3 ~ E. Obrien #MLOps
- Top Computer Vision Google Colab Notebooks #Colab #ComputerVision #Resources
- Why You Should Do NLP Beyond English ~ S. Ruder #NLP
- Image-to-Image Translation with Conditional Adversarial Networks ~ P. Isola #Image2Image #GAN
- GAN — Wasserstein GAN & WGAN-GP ~ J. Hui #GANs
- Single-Shot Refinement Neural Network for Object Detection ~ S. Zhang #ObjectDetection
- Rethinking Atrous Convolution for Semantic Image Segmentation ~ L. Chen #SemanticSegmentation #AtrousConvolution
- Model Cards for Model Reporting ~ M. Mitchel #Provenance Model cards webpage
- Google breaks AI performance records in MLPerf with world’s fastest training supercomputer ~ N. Kumar #SuperComputing #TPUs
- On Robustness and Transferability ofConvolutional Neural Networks ~ J. Djolonga #Robustness #TransferLearning
- Graphical Object Detection in Document Images #Dataset #ImageAnalysis
- What does it mean to learn in deep networks? And, how does one detectadversarial attacks? ~ C. Corneanu #AlgebraicTopology #DeepLearning
- Adversarial Robustness - Theory and Practice ~ Z. Kolter #AdversarialExamples
- Toward Interpretable Machine Learning:Transparent Deep Neural Networks and Beyond ~ W: Samek #Interpretability
- Towards a Theoretical Understanding of the Robustness ofVariational Autoencoders ~ A. Camuto #AdversarialAttacks #VAEs
- Verification of ML Systems via Reparameterization ~ J.B. Tristan #TheoremProving #Verification
- Uncertainty Quantification and Deep Ensembles ~ R. Rahaman #Ensembles
- Understanding and Decoding a JPEG Image using Python ~ Y. Khalid #JPG #Algorithms
- Modern Data Augmentation Techniques for Computer Vision ~ A. Thakur #DataAugmentation
- Self-Normalizing Neural Networks ~ G. Klambauer #StructuredData
- Transformers: State-of-the-Art Natural Language Processing ~ Huggingface #NLP #Transformers
- The Illustrated GPT-2 (Visualizing Transformer Language Models) ~ J. Alammar #NLP #GPT2
- Faster than training from scratch — Fine-tuning the English GPT-2 in any language with Hugging Face and fastai v2 (practical case with Portuguese) ~ P. Guillou #NLP #Transformers #HuggingFace #FastAI
- Taskonomy: Disentangling Task Transfer Learning ~ A. Zamir #TransferLearning
- What is important about the No Free Lunch theorems? ~ D. Wolpert #NoFreeLunchTheorem
- Tabular Deep Leaning: TabNet deep dive ~ F. Pochetti #TabNet
- DetectoRS: Detecting Objects with Recursive Feature Pyramidand Switchable Atrous Convolution ~ S. Qiao #ObjectDetection
- A Promising Path Towards Autoformalization and General ArtificialIntelligence ~ C. Szegedy #Formalization #ITP #AGI
- Neuro-Symbolic Generative Art: A Preliminary Study ~ G. Aggarwal #Art #GenerativeLearning
- Visualizing Transfer Learning ~ R. Szabó #TransferLearning #Visualization
- Image classification via fine-tuning with EfficientNet ~ Y. Fu #Keras #EfficientNet #FineTuning
- When Does Label Smoothing Help? ~ R. Muller #LabelSmoothing #ImageClassification
- Exploring Self-attention for Image Recognition ~ H. Zao #Attention #ImageClassification
- OpenAI API ~ OpenAI #NLP #GPT3
- FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning ~ C-W. Keo #SemiSupervisedLearning #ImageAugmentation
- An overview of gradient descent optimization algorithms ~ S. Ruder #Training #Optimization
- Deep Learned Super Resolution for Feature Film Production ~ V. Vavilana #SuperResolution #Pixar
- Machine Learning Production Pipeline ~ C. Huyen #Pipeline #Production
- Creating a web application powered by a fastai model ~ A. NS #FastAI #WebAPP #Flask
- DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ~ J. Xin #NLP #Bert
- Full stack deep learning #DeepLearning #Course #EndToEnd
- TensorFlow Cloud #Tensorflow #Cloud
- Quantum Machine Learning ~ M. Schuld #MachineLearning #QuantumComputing
- Data Pipelines in Fastai (data blocks API v1) ~ N. Dharap #FastAI
- TensorFlow 2 meets the Object Detection API ~ V. Rathod #ObjectDetection #Tensorflow
- 4 Automatic Outlier Detection Algorithms in Python ~ J. Brownlee #OutlierDetection
- 21st Century Challenges #Challenges
- Semi-Supervised Learning in Computer Vision ~ A. Chaudhary #SemiSupervisedLearning #Review
- Keras R-CNN: library for cell detection inbiological images using deep neuralnetworks ~ J. Hung #DeepLearning #ObjectDetetion #KerasRCNN
- Representation learning without labels ~ I. Higgins #RepresentationLearning
- Responsible Innovation & Artificial Intelligence ~ C. Qin #AdversialTraining #Ethics
- NVAE: A Deep Hierarchical Variational Autoencoder (Paper Explained) ~ Y. Kilcher #AutoEncoders
- REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs ~ J. Orlando #Challenge #ImageClassification #ImageSegmentation
- Bag of Tricks for Image Classification with Convolutional Neural Networks ~ T. He #Tricks #ImageClassification
- Seven Sketches in Compositionality:An Invitation to Applied Category Theory ~ B. Frog #CategoryTheory
- Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Paper Explained) ~ Y. Kilcher #Attention #RNN
- TabNet: Attentive Interpretable Tabular Learning ~ S. Arik #TabularData #SelfSupervisedLearning #Attention
- Exploring Bayesian Optimization ~ A. Agnihotri #Tuning
- Introduction to Adversarial Machine Learning ~ A. Chakraborty #AdversarialExamples
- The Lottery Ticket Hypothesis: A Survey ~ R. Lange #LotteryTicket
- Deep Generation of Coq Lemma Names Using Elaborated Terms ~ P. Nie #NLP #Coq
- SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization (Paper Explained) ~ Y. Kilcher #CNNs #Classification #ObjectDetection
- ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution ~ P. Vitoria #Colorization #GANs
- SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization ~ X. Du #NeuralArchitectureSearch
- AI Art #DeepDream #Pix2Pix #StyleTransfer #CycleGAN
- Debiased Contrastive Learning ~ C-Y. Chuang #SelfSupervisedLearning #ContrastiveLearning
- Big Self-Supervised Models areStrong Semi-Supervised Learners ~ T. Chen #SelfSupervisedLearning #SemiSupervisedLearning
- Opening Up the Black Box: Model Understanding with Captum and PyTorch ~ N. Kokhlikyan #Interpretability #Pytorch
- Panoptic-based Image Synthesis ~ A. Dundar #ImageSynthesis
- BERTology Meets Biology: Interpreting Attention in Protein Language Models (Video Explained) ~ Y. Kilcher #Bert #Biologoy #Proteins
- The Reformer Notebook 1 Notebook 2 Notebook 3 Notebook 4 #NLP
- Designing Practical NLP Solutions ~ I. Montani #NLP
- Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review ~ C. Xiao #Review #HealthRecords
- The Measure of Intelligence ~ F. Chollet #Intelligence #ArtificialIntelligence
- A new dense, sliding-window technique for instance segmentation ~ Facebook #InstanceSegmentation
- Three things everyone should know to improve object retrieval ~ R. Arandjelovic #ObjectRetrieval #DatabaseSearch
- Human–computer collaboration for skin cancer recognition ~ P. Tschandl #MedicalImaging
- SmoothMix: a Simple Yet Effective Data Augmentation to Train RobustClassifiers ~ J. H. Lee #DataAugmentation
- The Machine Learning Summer School #MachineLearning #Course
- Computing the Testing Error without a Testing Set ~ C. Corneanu #PersistentHomology #MachineLearning
- Advancing Self-Supervised and Semi-Supervised Learning with SimCLR ~ T. Chen #SelfSupervisedLearning #SemiSupervisedLearning
- Distributed Learning on Image Classification of Beans in TensorFlow ~ A. Gupta #DistributedLearning #Tensorflow
- Object-Centric Learning with Slot Attention (Paper Explained) ~ Y. Kilcher #Attention
- ̣Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures (Paper Explained) ~ Y. Kilcher #BackPropagationAlternative #Training
- Handwritten Music Recognition for Mensural Notation with Convolutional RecurrentNeural Networks ~ J. Calvo-Zaragoza #OMR
- Using Cell Phone Pictures of Sheet Music To Retrieve MIDI Passages ~ T. Tsai #OMR
- Optical Music Recognition Datasets #OMR #Datasets
- Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection ~ S. Beery #ObjectDetection #Attention
- Carabela ~ E. Vidal #OCR #OldDocuments #Athento
- High-Fidelity Generative Image Compression ~ F. Mentzer #GANs #ImageCompression
- Detection and Classification of Pollen Grain Microscope Images ~ S. Battiano #ImageClassification #Bioimage
- A Semi-Supervised Assessor of Neural Architectures ~ Y. Tang #NeuralArchitectureSearch
- Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning ~ T. Chen #AdversialRobustness #SelfSupervisedLearning #TransferLearning
- Are we done with ImageNet? ~ L. Beyer #ImageNet #Evaluation #Benchmark
- Self-Supervised Representation Learning by Rotation Feature Decoupling ~ Z. Feng #SelfSupervisedLearning #AdversialAttacks
- Point2Mesh A Self-Prior for Deformable Meshes ~ R. Hanocka #Mesh #Topology
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks ~ J. Ubbens #DeepLearning #Plants
- A Novel Technique Combining Image Processing, Plant Development Properties,and the Hungarian Algorithm, to Improve Leaf Detection in Maize ~ N. A. Kham #Plants #Agriculture #Skeleton
- AI Research, Replicability and Incentives ~ D. Britz #Replicability #Reproducibility
- CornerNet: Detecting Objects as Paired Keypoints ~ H. Law #ObjectDetection
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning ~ J-B. Grill #SelfSupervisedLearning
- Rethinking Pre-training and Self-training ~ B. Zoph #TransferLearning #SemiSupervisedLearning
- Deep Snake for Real-Time Instance Segmentation ~ S. Peng #InstanceSegmentation #Contours #Snake
- Machine Learning Ops #MLOps
- CVPR 2020 Tutorial on Interpretable Machine Learning for Computer Vision #Interpretability #Tutorial
- A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing ~ N. Gill #Interpretable #Fairness
- OpenCV Fast Fourier Transform (FFT) for blur detection in images and video streams ~ A. Rosebrock #Pyimagesearch #BlurDetection #FourierTransform
- Object Detection Datasets ~ Roboflow #ObjectDetection #Datasets
- Structured data classification from scratch ~ F. Chollet #Keras #StrucuturedData
- VirTex: Learning Visual Representationsfrom Textual Annotations ~ K. Desai #Pretraining #SelfSupervisedLearning #TransferLearning
- The transformer explained #Transfomers #NLP
- Ensemble Generative Cleaning with Feedback Loops for Defending AdversarialAttacks ~ J. Yuan #Ensembles #AdversarialAttacks
- A Self-supervised Approach for Adversarial Robustness ~ M. Nasser #SelfSupervisedLearning #AdversarialAttacks #Detection #Segmentation #Classification
- Language Modeling for Formal Mathematics ~ M. N. Rabe #LanguageModelling #Mathematics #TheoremProving
- Deep Clustering for Unsupervised Learning of Visual Features ~ M. Caron #UnsupervisedLearning #Clustering
- Illustrated Guide to Transformers ~ H. Jing #Transformers #NLP
- The Ultimate Guide to Deploying Machine Learning Models ~ L. Patruno #Deployment #Series
- U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection ~ X. Qin #SalientObjectDetection
- Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection ~ S. Zhang #ObjectDetection
- How we write rebuttals ~ D. Parikh #Rebuttals #Advices
- mixup: Beyond Empirical Risk Minimization ~ H. Zhang #ImageClassification #DataAugmentation
- End-to-End Object Detection with Transformers ~ N. Carion #ObjectDetection #Transformers
- High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs ~ T-C. Wang #GANs #ImageSynthesis
- Instance-aware Image Colorization ~ J-w. Su #ImageColorisation #InstanceAware
- A critical analysis of self-supervision, or what we can learn from a single image (Paper Explained) ~ Y. Kilcher #SelfSupervision
- StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks ~ H. Zhang #GANs #ImageSynthesis
- A generic framework forprivacy preserving deep learning ~ A. Ryffel #Privacy #PySyft
- Privacy Preserving Deep Learning with PyTorch & PySyft ~ PySyft #FederatedLearning #Privacy
- Dynamic Routing Between Capsules ~ S. Sabour #CapsuleNetworks #ComputerVision
- Entity Embeddings of Categorical Variables ~ C. Guo #Embeddings
- Transformers without Tears: Improving the Normalization of Self-Attention ~ T. Nguyen #Transformers #NLP
- What Makes for Good Views for Contrastive Learning? ~ Y. Tian #ContrastiveLearning
- Training instance segmentation neural network with synthetic datasets for crop seed phenotyping ~ Y. Toda #Agriculture #Segmentation #SyntheticData
- Machine Learning 101 ~ J. Mayes #Introduction #DeepLearning #Slides
- Weight Standardization (Paper Explained) ~ Y. Kilcher #Normalisation #DeepLearning #ParallelTraining
- Troubling Trends in Machine Learning Scholarship ~ Z. C. Lipton #MachineLearning #Challenges
- Self-Supervised Representation Learning onDocument Images ~ A. Cosma #Documents #SelfSupervisedLearning #Classification
- Antipatterns in open source research code ~ J. Safi #AntiPatterns #OpenSource
- Group Normalization (Paper Explained) ~ Y. Kilcher #Normalisation #DeepLearning #ParallelTraining
- Keras code examples ~ Keras #Keras #Tutorials #ComputerVision #NLP #GANs #ReinforcementLearning
- Neural Network Programming - Deep Learning with PyTorch ~ DeepLizard #Pytorch #Videos
- GANs in computer vision: Introduction to generative learning ~ N. Adaloglou #GANs #Series
- AxCell: Automatic Extraction of Results from Machine Learning Papers ~ A. Kardas #DataExtraction #TableDetection
- A Metric Learning Reality Check ~ K. Musgrave #MetricLearning
- RandAugment: Practical automated data augmentationwith a reduced search space ~ E. Cubuk #DataAugmentation #ObjectDetection #ImageClassification #SemiSupervisedLearning
- A Simple Semi-Supervised Learning Framework for Object Detection ~ K. Sohn #SemiSupervisedLearning #ObjectDetection
- This startup uses machine learning and satellite imagery to predict crop yields ~ A. Brokaw #Crops #Detection
- TTNet: Real-time temporal and spatial video analysis of table tennis ~ Voeikov #Detection #Segmentation #Video #MultiTask
- The future of NLP ~ HuggingFace #NLP #Youtube
- An Illustrated Guide to Graph Neural Networks ~ R. Anand #GraphNeuralNetworks
- Self-Supervised Scene De-occlusion ~ X. Zhan #SelfSupervisedLearning #Occlusion
- Using off-the-shelf data-human interface platforms:traps and tricks ~ A. Angeli #Comparison #Orange #KNIME
- Explainable Deep Learning: A Field Guide for the Uninitiated ~ N. Xie #Explainable #Interpretability
- DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation ~ M. Jafari #Segmentation #MedicalImaging
- TLDR: Extreme Summarization of Scientific Documents ~ I. Cachola #Summarization #NLP
- Interactive Tools for ML, DL and Math ~ S. Ilić #Visualization #InteractiveTools
- Fast AutoAugment ~ S. Lim #ImageAugmentation
- The Illustrated FixMatch for Semi-Supervised Learning ~ A. Chaudhary #SemiSupervisedLearning #FixMatch
- A Visual Guide to Recurrent Layers in Keras ~ A. Chaudhary #NLP #RNN
- An extensible integration of huggingface transformer models with fastai v2 #NLP #FastAI #Transformers #Library
- Diagnosis in Tennis Serving Technique ~ E. Roanes-Lozano #Tennis #GrobnerBasis #ComputerAlgebraSystem
- GIMP-ML: Python Plugins for using Computer Vision Models in GIMP ~ K. Soman #Gimp #ComputerVision #DeepLearning
- A Large Dataset of Historical Japanese Documents with Complex Layouts ~ Z. Shen #Datasets #Documents
- Supervised Contrastive Learning ~ P. Khosla #ContrastiveLearning #SemiSupervisedLearning #SelfSupervised
- YOLOv4: Optimal Speed and Accuracy of Object Detection ~ A. Bochkovskiy #YOLO #ObjectDetection
- CycleGAN, a Master of Steganography ~ C. Chu #GANs #Steganography
- On Interpretability of Artificial Neural Networks ~ F. Fan #Interpretability #NeuralNetworks #Survey
- Single Headed Attention RNN: Stop Thinking With Your Head ~ S. Merity #RNNs #NLP
- Self-Supervised Learning of Pretext-Invariant Representations ~ I. Misra #SelfSupervisedLearning
- Momentum Contrast for Unsupervised Visual Representation Learning ~ K. He #MoCO #RepresentationLearning #ContrastiveLearning #SelfSupervisedLearning
- Data-Efficient Image Recognition with Contrastive Predictive Coding ~ O. J. Henaff #ContrastiveLearning #SemiSupervisedLearning #SelfSupervisedLearning
- Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples ~ P. Neekhara #DeepFakes #AdversarialExamples
- An end-to-end GAN example ~ F. Chollet #Keras2 #GANs
- EfficientDet repository ~ M. Tan #ObjectDetection #EfficientDet
- OpenAI Microscope ~ L. Shubert #CNNs #Interpretability
- What can robotics research learn from computer vision research? ~ P. Corke #Robotics #ComputerVision
- The Story of Heads ~ L. Voita #Transformers #NLP
- Deep Learning-Based Point-Scanning Super-Resolution Imaging ~ L. Fang #SuperResolution
- Can We Generate High-Quality Movie Reviews Using Language Models? ~ O. Dar #LanguajeModel #TextGeneration #NLP
- Meet AdaMod: a new deep learning optimizer with memory ~ L. Wright #Optimiser
- Systematic evaluation of CNN advances on the ImageNet ~ D. Mishkin #CNNs
- A Recipe for Training Neural Networks ~ A. Karpathy #NeuralNets #Recipes
- SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation ~ J. Sun #Segmentation #Interpretability
- Evolution of Representations in the Transformer ~ L. Voita #NLP #Transformers
- Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs ~ M. Siam #Segmentation #Attention #FewShotLearning
- The Illustrated Transformer ~ J. Alamar #Transformers #NLP
- Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) ~ J. Alammar #Attention #NLP
- OpenCV Age Detection with Deep Learning ~ A. Rosenbrog #PyimageSearch #AgeDetection #ImageClassification
- ObjectNet Dataset: Reanalysis and Correction ~ A. Borji #ObjectNet #ObjectDetection
- How do Convolutional Neural Networks work? ~ B. Rohrer #IntroCNNs
- FAST IS BETTER THAN FREE:REVISITING ADVERSARIAL TRAINING ~ E. Wong #AdeversarialTraining
- Adversarial Training and Robustness for Multiple Perturbations ~ F. Tramèr #AdeversarialTraining #TrabajoSevilla
- Examining the Benefits of Capsule Neural Networks ~ A. Punjabi #CapsuleNetworks #Explainability
- A Step Toward Quantifying IndependentlyReproducible Machine Learning Research ~ E. Raff #Reproducibility
- Semantic Segmentation of Underwater Imagery: Dataset and Benchmark ~ J. Islam #SemanticSegmentation #Dataset
- The Architectural Implications of Facebook’sDNN-based Personalized Recommendation ~ U. Gupta #RecommendationSystems
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) ~ J. Alammar #NLP
- cleverhans blog ~ I. GodFellow #Blog #Security #MachineLearning
- How to steal modern NLP systems with gibberish? ~ K. Krishna #NLP #Bert #Attacks #Distillation
- Text Similarity Search with Modern NLP and Elasticsearch Service #ElasticSearch #NLP
- Semi-supervised Learning for Few-shot Image-to-Image Translation ~ Y. Wan #SemiSupervisedLearning #Image2Image
- Self-Attention Generative Adversarial Networks ~ H. Zhang #Attention #GANs
- Making Convolutional Networks Shift-Invariant Again ~ R. Zhang #ConvolutionalNeuralNetworks #Antialiasing
- Learning to See Through Obstructions ~ Y. Liu #ObstructionRemoval
- Multi-task Self-Supervised Visual Learning ~ C. Doersch #SelfSupervisedLearning #MultiTaskLearning
- Blur and anonymize faces with OpenCV and Python ~ A. Rosenbrog #Pyimagesearch #FaceDetection
- Representation Learning Through Latent Canonicalizations ~ O. Litani #RepresentationLearning #SelfSupervisedLearning
- Fastidious Attention Network for Navel Orange Segmentation ~ S. Xiaoye #SemanticSegmentation #Attention
- Image Generation from Scene Graphs ~ J. Johnson #ImageGeneration #SceneGraphs
- Context Encoders: Feature Learning by Inpainting ~ Pathak #InPainting #AutoEncoders
- Autoencoders for Content-based Image Retrieval with Keras and TensorFlow ~ A. Rosenbrog #PyimageSearch #AutoEncoders #ImageRetrieval
- Cylindrical Convolutional Networks forJoint Object Detection and Viewpoint Estimation ~ S. Joung #ObjectDetection #3DConvolutions
- Generative Modeling for Small-Data Object Detection ~ L. Liu #ObjectDetection #GAN
- HAAR LBP HOG Cascades for OpenCV ~ Vision-Ary Team #ObjectDetection
- Layout2image: Image Generation from Layout ~ B. Zhao #Layout2Image
- Detectron2 - Next Gen Object Detection Library ~ Y. Wu #Detectron #ObjectDetection #Video
- Learning Layout and Style Reconfigurable GANsfor Controllable Image Synthesis ~ W. Sun #GANs #Layout2Image
- Introduction to Semi-supervised Learning using MixMatch ~ R. Löwenström #SemiSupervisedLearning #MixMatch
- Self-Attention Generative Adversarial Networks ~ H. Zhang #Attention #GANs
- Mish: A Self Regularized Non-Monotonic Neural Activation Function ~ D. Misra #ActivationFunction
- From classical statistics to modern machine learning ~ M. Belkin #DoubleDescent
- How to Know ~ C. Kidd #Neuropsycology #Learning
- tSNE vs. UMAP: Global Structure ~ N. Oskolkov #DimensionalityReduction
- PyTorch VAE ~ A. K. Subramanian #Pytorch #VAE
- The Augmented Scientist Part 1: Practical Application Machine Learning in Classification of SEM Images ~ I. Keaney #ImageClassification #FastAI
- PatchPerPix for Instance Segmentation ~ P. Hirsch #InstanceSegmentation #Datasets
- A walk with FastAI 2 ~ Muellerzr #FastaAI #Course
- Unsupervised Learning of Depth and Ego-Motion from Video ~ T. Zhou #SelfSupervisedLearning #Video
- Meta Pseudo Labels ~ H. Pham #SelfSupervisedLearning #SemiSupervisedLearning
- TensorFlow Quantum is a library for hybrid quantum-classical machine learning ~ Tensorflow #QuantumMachineLearning
- Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study ~ H. Kim #MedicalImaging #ImageClassification
- Generating Interpretable Poverty Maps using Object Detection in Satellite Images ~ K. Ayush #ObjectDetection #YOLO
- How Good is the Bayes Posterior in Deep Neural Networks Really? ~ F. Wenzel #BayesianInference
- Deep learning for anomaly detection: a survey ~ R. Chalapathy #AnomalyDetection
- The Tree Ensemble Layer: Differentiability meets Conditional Computation ~ H. Hazimeh #DecissionTrees #EnsembleLayer
- AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining ~ P. Rajpurkar #MedicalImaging #3DClassification #TransferLearning
- RepPoints: Point Set Representation for Object Detection ~ Z. Yang #ObjectDetection
- Bag of Freebies for Training Object Detection Neural Networks ~ Z. Zhang #ObjectDetection #Tricks
- An overview of proxy-label approaches for semi-supervised learning ~ S. Ruder #SemiSupervisedLearning #ProxyLabel
- A fastai/Pytorch implementation of MixMatch ~ N. Rubinstein #FastAI #MixMatch #SemiSupervisedLearning
- CCMatrix: A billion-scale bitext data set for training translation models ~ H. Schwenk #NLP #Dataset #Translation
- Incremental Object Detection via Meta-Learning ~ K. J. Joseph #ObjectDetection #MetaLearning
- Fixing the train-test resolution discrepancy ~ H. Touvron #ImageNet #Classification #FixRes
- Fixing the train-test resolution discrepancy: FixEfficientNet ~ H. Touvron #Classification #FixEfficientNet #ImageNet
- Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation ~ Y. Wei #WeakLearning #SemiSupervisedLearning
- Weakly- and Semi-Supervised Learning of a Deep Convolutional Network forSemantic Image Segmentation ~ G. Papandreou #WeakLearning #SemiSupervisedLearning
- Weakly- and Semi-Supervised Panoptic Segmentation ~ Q. Li #SemanticSegmentation #WeakLearning #PanopticSegmentation
- Learning from multiple teacher network ~ S. You #MultipleTeacher #DeepLearning #Distillation
- Semi-supervised few-shot learning for medicalimage segmentation ~ A. Fayjie #SemiSupervisedLearning #FewShotLearning
- A Simple Framework for Contrastive Learning of Visual Representations ~ T. Chen #ContrastiveLearning
- Visual Transfer Learning for Robotic Manipulation ~ Y-C. Lin #Robotics #TransferLearning
- StarNet: towards weakly supervised few-shot detection and explainable few-shot classification ~ L. Karlinsky #FewShotLearning #Interpretability #WeaklySupervised #ObjectDetection
- Collaborative Learning of Semi-Supervised Segmentation and Classification forMedical Images ~ Y. Zhou #CollaborativeLearning #Segmentation #Classification #MedicalImaging
- fastai—A Layered API for Deep Learning ~ J. Howard #FastAI
- From Zero to DSP ~ radekosmulski #Audio
- Deep learning workflow in radiology: a primer ~ E. Montagnon #DeepLearning #MedicalImaging #Workflow
- Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence ~ S. Raschka #Python #MachineLearning #DeepLearning
- A deep-learning view of chemical space designed to facilitate drug discovery ~ P. Maragakis #Chemistry #DrugDiscovery
- Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception ~ J. Islam #SuperResolution #ImageEnhancement
- From zero to research — An introduction to Meta-learning ~ T. Wolf #MetaLearning
- AutoML: A Survey of the State-of-the-Art ~ X. He #AutoML
- Good Citizien of CVPR ~ Conference #Research #Advices
- Tutorial on SPAM detection using fastai ULMFiT - Part 2: Classification Model ~ P. Casas #ULMFit #FastAI #NLP
- Interactive machine learning for fast and robust cell profiling ~ L. Laux #Segmentation #CellProfiler
- Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN ~ H. Wu #ObjectDetection
- Transformers Notebooks ~ HuggingFace #NLP #Transformers
- Fast AI Audio ~ Mogwai #FastAI #Audio
- RSNA Intracranial Hemorrhage Detection FastAI ~ J. Howard #MedicalImaging #FastAI
- Step-By-Step Framework for Imbalanced Classification Projects ~ J. Brownlee #ImageClassification #ImbalancedDatasets
- Grad-CAM: Visualize class activation maps with Keras, TensorFlow, and Deep Learning ~ A. Rosenbrog #PyimageSearch #ActivationMaps #Interpretability
- Frustratingly Simple Few-Shot Object Detection ~ X. Wang #ObjectDetection #FewShotLearning Repositorio
- Semi-Supervised Segmentation of Salt Bodies inSeismic Images using an Ensemble ofConvolutional Neural Networks ~ Y. Babakhin #SemiSupervisedLearning #SemanticSegmentation #SelfLearning
- Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning ~ A. Rosenbrog #PyimageSearch #ImageClassification
- mAP (mean average precision) calculation for different Datasets ~ AlexeyAB #Detection #Metrics #YOLO
- Self-training with Noisy Student improves ImageNet classification ~ Q. Xie #SelfSupervised #SemiSupervised
- Fastai v2 has a medical imaging submodule! ~ J. Howard #FastAI #MedicalData
- ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters ~ DeepSpeed #LargeModels #Library #ModelTraining #Parallelism
- The future of NLP in Python ~ I. Montani #NLP
- Data re-uploading for a universal quantum classifier ~ A. Pérez-Salinas #QuantumComputing #MachineLearning
- Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning ~ A. Ho #QuantumComputing #MachineLearning
- PythonCheatSheet ~ alhassy #Python
- Zoom In: An Introduction to Circuits ~ C. Olah #Interpretability
- Fast and Easy Infinitely Wide Networks with Neural Tangents ~ S. Schoenholz #InfiniteNetworks #NeuralTangents
- A Simple Framework for Contrastive Learning of Visual Representations ~ T. Chen #ContrastiveLearning #SelfSupervisedLearning #DataAugmentation
- FUNSD: A Dataset for Form Understandingin Noisy Scanned Documents ~ G. Jaume #FormUnderstanding #Dataset #Athento Repositorio
- PubLayNet: largest dataset ever for documentlayout analysis ~ X. Zhong #LayoutAnalysis #TableDetection #Dataset #Athento Repositorio
- EfficientDet: Scalable and Efficient Object Detection ~ M. Tan #ObjectDetection #EfficientDet #Efficiency
- CSPNet: A New Backbone that can Enhance Learning Capability of CNN ~ C. Hang #YOLO #ObjectDetection #Darknet #Efficient Repositorio
- Unsupervised data augmentation for consistency training ~ Q. Xie #SemiSupervisedLearning #DataAugmentation
- Learning from unlabeled data ~ T. Luong #SelfSupervisedLearning #SemiSupervisedLearning #NoisyStudent
- Reliance on Metrics is a Fundamental Challenge for AI ~ R. Thomas #Ethics
- Pysyft: A library for encrypted, privacy preserving machine learning ~ Pysyft #Privacy #DeepLearning
- AI Curriculum ~ Suzana Ilić #DeepLearning #Courses #NLP #ComputerVision
- Smithsonian Open Access #Datasets #Images #Museums
- The imaging tsunami: Computational opportunities and challenges ~ W. Ouyang #Microscopy #Bioimaging #SuperResolution
- Draft of the fastai book ~ J. Howard #FastAI #Deeplearning #NLP #ComputerVision
- The Illustrated Self-Supervised Learning ~ A. Chaudhary #SelfSupervisedLearning
- A Deep Learning Approach to Antibiotic Discovery ~ J. M. Stokes #Antibiotics #DeepLearning
- A Keras-Based Autoencoder for Anomaly Detection in Sequences ~ A. Agmon #AnomalyDetection #AutoEncoders #SequenceData
- Anomaly detection with Keras, TensorFlow, and Deep Learning ~ A. Rosebrock #PyimageSearch #AnomalyDetection #AutoEncoders
- Jupyter notebooks Bishop’s book ~ #MachineLearning #BishopBook
- A surprisingly simple way to make DNNs robust against many types of image corruptions ~ E. Rusak #DataAugmentation #Robustness #GaussianNoise
- Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks ~ C. Taylan #GANs #SemanticSegmentation #Image2Image
- An Automated Approach for the Discovery of Interoperability ~ D. Sap #Interoperability #CAD
- Momentum Contrast for Unsupervised Visual Representation Learning ~ K. He #RepresentationLearning #ContrastiveLearning #SelfSupervisedLearning
- Contrastive Self-Supervised Learning ~ A. Anand #ContrastiveLearning #SemiSupervisedLearning
- YOLO and Tiny-YOLO object detection on the Raspberry Pi and Movidius NCS ~ A. Rosebrock #PyimageSearch #YOLO #RaspberriPI
- Universal Language Model Fine-tuning for Text Classification ~ J. Howard #ULMFit #NaturalLanguageProcessing #FineTuning
- Beyond a Gaussian Denoiser: Residual Learningof Deep CNN for Image Denoising ~ K. Zhang #Denoising #CNNs
- Self-Attention Generative Adversarial Networks ~ H. Zhang #GANs #Attention
- Decrappification, DeOldification, and Super Resolution ~ J. Howard #SuperResolution #ImageColorisation #GANs #Unet
- Consistency-based Semi-supervised Learning forObject Detection ~ J. Jeong #SemiSupervisedLearning #ObjectDetection
- FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence ~ K. Sohn #SemiSupervisedLearning #ImageClassification
- How a self-attention layer can learn convolutional filters? ~ J-B. Cordonnier #Attention #ConvolutionalNeuralNetworks
- Unsupervised Exemplar-Based Learning for Improved Document Image Classification ~ S. Abuelwafa #DocumentImageClassification #SemiSupervisedLearning
- Biological Structure and Function Emerge from Scaling Unsupervised Learning to 250 Million Protein Sequences ~ A. Rives #Proteins #SelfSupervision
- Inductive Transfer Learning for Molecular Activity ~ X. Li #ULMFiT #Chemistry
- Understanding LSTM Networks ~ C. Olah #RecurrentNeuralNetworks #NaturalLanguageProcessing
- UDSMProt: Universal Deep Sequence Models for Protein Classification ~ N. Strodthoff #ULMFiT #ProteinClassification
- Genomic ULMFiT ~ K. Heyer #ULMFiT #Genomics
- Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn ~ A. Rosebrock #AnomalyOutlierDetection #IsolationForest
- Reformer: The Efficient Transformer ~ N. Kitaev #Attention #SequenceModels
- The Dark Secrets of BERT ~ A. Rogers #NaturalLanguageProcessing #BERT
- Transfusion: Understanding Transfer Learning forMedical Imaging ~ M. Raghu #TransferLearning #MedicalImaging
- Introducing state of the art text classification with universal language models ~ J. Howard #NaturalLanguageProcessing #SemiSupervisedLearning #ULMFiT
- Self-supervised Visual Feature Learning withDeep Neural Networks: A Survey ~ L. Jing #SemiSupervisedLearning #SelfSupervisedLearning #PretextTasks #Survey
- Self-supervised learning and computer vision ~ J. Howard #SemiSupervisedLearning #SelfSupervisedLearning #PretextTasks
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning ~ D. S. Kermany #TransferLearning #MedicalImaging
- 10 ML & NLP Research Highlights of 2019 ~ S. Ruder #NaturalLanguageProcessing #Highlights
- Towards Automated Semi-Supervised Learning ~ Y-F. Li #AutoML #SemiSupervisedLearning #StructuredData
- Data project checklist ~ J. Howard #DataScience
- A Code-First Introduction to Natural Language Processing ~ R. Thomas #NaturalLanguageProcessing #Course
- Expert-Augmented Machine Learning ~ E. D. Gennatas #ExpertKnowledge
- City-Scale Road Extraction from Satellite Imagery v2: Road Speeds and Travel Times ~ A. Van Etten #OpenStreetMap #RoadExtraction #SemanticSegmentation
- Adversarial Training and Robustness for Multiple Perturbations ~ F. Tramer #AdversialAttacks #Defenses
- Adaptively Sparse Transformers ~ G. M. Correia #NaturalLanguageProcessing #Attention #Transformers
- Prescribed Generative Adversarial Networks ~ A. B. Dieng #GANs
- Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation ~ K. Huang #ClinicalData #HealthCare #NaturalLanguageProcessing
- A Modern Introduction to Online Learning ~ F. Orabona #OnlineLearning
- Hyper-Kvasir: A Comprehensive Multi-Class Image and Video Dataset for Gastrointestinal Endoscopy ~ H. Borgli #Datasets #ImageClassification #SemanticSegmentation
- Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope ~ M. Nyamewaa Asiedu #MedicalImaging #LowResources
- The Use of Deep Learning for Symbolic IntegrationA Review of (Lample and Charton, 2019) ~ E. Davis #DeepLearning #ComputerAlgebraSystems #Review
- Linear Algebra is fun, trust me! ~ S. Sharma #LinearAlgebra #Maths #Applications
- Using AI to improve breast cancer screening ~ S. Shetty #MedicalImaging #Support #Health
- Label Smoothing with Keras and Tensorflow A. Rosebrock #PyimageSearch #LabelSmoothing #Regularisation
- Data Science Cheatsheet ~ M. Lin #DataScience
- It’s a Record-Breaking Crowd ~ P. Sharma #CroudCounting #Tutorial
- How to Read a Paper ~ S. Keshav #Methods #Research #Reading
- Auto-DeepLab:Hierarchical Neural Architecture Search for Semantic Image Segmentation ~ C. Liu #SemanticSegmentation #NeuralArchitectureSearch
- SPAM detection using fastai ULMFiT ~ P. Casas #FastAI #NaturalLanguageProcessing #SpamDetection
- Attention and Augmented Recurrent Neural Networks ~ C. Olah #NaturalLanguageProcessing #Attention #RNNs
- Are Transformers universal approximators of sequence-to-sequence functions? ~ C. Yun #NaturalLanguageProcessing #Transformers #Attention #ContextualMapping
- Improving Fairness in Machine Learning Systems:What Do Industry Practitioners Need? ~ K. Holstein #Fairness #Industry #HumanComputerInteraction
- Nike patenta unas zapatillas basadas en ‘blockchain’ ~ J. Cortes #Blockchain #Falsificaciones
- Improving Medical AI Safety by Addressing Hidden Stratification ~ L. Oakden-Rayner #MedicalAI #Methods
- The best medical AI research (that you probably haven’t heard of) ~ L. Oakden-Rayner #ClinicalTrials #MedicalAI
- Medical Detection Toolkit ~ P. Jaeger #ObjectDetection #Software
- A New Way to look at GANs ~ M. Pasini #GANs #SiameseNetworks
- Unified rational protein engineering with sequence-based deep representation learning ~ E. Alley #Chemistry
- Understanding searches better than ever before ~ P. Nayak #NaturalLanguageProcessing #BERT #SearchAlgorithm
- Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees ~ C. Weill #Ensemble #AutoML #ReinforcementLearning
- Designing great data products ~ J. Howard #DataProducts #Pipeline
- Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing ~ J. Devlin #NaturalLanguageProcessing #BERT #PreTraining #SemiSupervisedLearning
- U-Net: Convolutional Networks for Biomedical Image Segmentation ~ O. Ronneberger #SemanticSegmentation
- Deep Double Descent ~ OpenAI #Methods #DeepNeuralNetworks
- Exploiting Web Images for Weakly Supervised Object Detection ~ Q. Tao #ObjectDetection #WeakSupervisedLearning #CurriculumLearning
- Deep learning reveals cancer metastasis and therapeutic antibody targeting in whole body ~ C. Pan #MedicalImaging
- Machine Learning on Graphs @ NeurIPS 2019 ~ M. Galkin #Graphs #GraphConvolutionalNetworks #Embeddings
- Machine Learning Notebooks ~ A. Géron #MachineLearning #JupyterNotebooks #Resources
- Protein–protein interaction site prediction through combining local and global features with deep neural networks ~ M. Zeng #Proteins #Chemistry
- Predicting Protein-Protein Interactions from Matrix-Based Protein Sequence Using Convolution Neural Network and Feature-Selective Rotation Forest ~ L. Wang #ConvolutionalNeuralNetworks #Proteins #Chemistry
- A gallery of interesting Jupyter Notebooks ~ J. C. Agar #JupyterNotebooks #Resources
- MixConv: Mixed Depthwise Convolutional Kernels ~ M. Tan #Mobile #ImageClassification #NeuralArchitectureSearch
- Advances in few-shot learning: a guided tour ~ O. Knagg #FewShotLearning #MatchingNetworks
- Advances in few-shot learning: reproducing results in PyTorch ~ O. Knagg #FewShotLearning #MatchingNetworks
- Selective Brain Damage: Measuring the Disparate Impact of Model Pruning ~ S. Hooker #Pruning #Robustness
- MixMatch: A Holistic Approach to Semi-Supervised Learning ~ D. Berthelot #SemiSupervisedLearning
- Exploration of Neural Machine Translation inAutoformalization of Mathematics in Mizar ~ J. Urban #NaturalLanguageProcessing #ITPs
- To Understand The Future of AI, Study Its Past ~ R. Toews #ArtificialIntelligence #History #Connectionist #Symbolism
- How to Develop Super Learner Ensembles in Python ~ J. Brownlee #Ensemble #MetaLearner #SuperLearner
- A generic framework for privacy preserving deep learning ~ T. Ryffel #Privacy #FederatedLearning #DifferentialPrivacy
- Human Behavior Modeling with Machine Learning: Opportunities and Challenges ~ N. Oliver #HumanBehaviour
- Analyzing and Improving the Image Quality of StyleGAN ~ T. Karras #GANs #StyleGAN
- A Bluffer’s Guide to Dimension Reduction ~ L. McInnes #DimensionalityReduction #Video #Overview
- A Benchmark for Interpretability Methods in DeepNeural Networks ~ S. Hooker #Interpretability #FeatureImportance
- Deep Learning -> Federated Learning in 10 Lines of PyTorch + PySyft ~ T. Ryffel #FederatedLearning #Privacy #PySyft
- Federated Learning ~ Arkhn #FederatedLearning #Privacy
- PubLayNet: largest dataset ever for documentlayout analysis ~ X. Zhong #DocumentAnalysis #Athento #Dataset #Tables
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs ~ L-C. Chen #SemanticSegmentation
- AI-Based Photo Restoration ~ F. Kitashov #GANs #U-net #Colorisation #Inpainting
- Future of individualized medicine ~ J. Howard #Medicine #ArtificialIntelligence
- TensorFlow 2.0 + Keras Overview for Deep Learning Researchers ~ F. Chollet #Keras #Tensorflow
- Deciphering interaction fingerprints from protein molecular surfaces ~ P. Gainza #Chemistry #Molecules
- Learning-Algorithms from Bayesian Principles ~ M. Emtiyaz #LearningAlgorithms
- Data-efficient image recognition with contrastive predictive coding ~ O. J. Hénaff #RepresentationLearning #ImageClassification #SemiSupervisedLearning
- Attention is all you need ~ A. Vaswani #MachineTranslation #Attention #Transformers #NaturalLanguageProcessing
- Efficient Processing of Deep Neural Networks:from Algorithms to Hardware Architectures ~ V. Sze #Efficiency #Consumption #Hardware
- AutoGluon: AutoML Toolkit for Deep Learning ~ Gluon #AutoML #ImageClassification #ObjectDetection
- What we learned from NeurIPS 2019 data ~ NeurIPS
- Image to Image Translation for Domain Adaptation ~ Z. Murez #DomainAdaptation #EncoderDecoder #DomainShift
- 10 Lessons I Learned Training GANs for one Year ~ M. Pasini #GANs #Tricks
- Institutional JupyterHub ~ JupyterHub #JupyterNotebooks
- Robust image classification with a small data set ~ Sciforce #ImageClassification #TransferLearning #DomainAdapatation #FewShotLearning
- From ‘F’ to ‘A’ on the N.Y. Regents Science Exams:An Overview of the Aristo Project ~ P. Clark #NaturalLanguageProcessing #QuestionAnswering #Aristo
- La inteligencia artificial capaz de puntuar con notas sobresalientes en los exámenes de ciencias ~ Microsiervos #ArtificialIntelligence #Mathematics
- SuperGlue: Learning Feature Matching with Graph Neural Networks ~ P-E. Sarlin # GraphNeuralNetworks #PoseEstimation #Matching #Homography
- Predicting Properties of Molecules with Machine Learning ~ G. Dahl #GraphNeuralNetworks #Chemistry
- Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules ~ A. Wiltschko #Smell #DeepNeuralNetworks #GraphNeuralNetworks #Embeddings #Chemistry
- Open Science Forum: Principles and practice ~ G. Way #OpenScience
- OpenCV Vehicle Detection, Tracking, and Speed Estimation ~ A. Rosebrock #PyimageSearch #VehicleDetection #OpenCV #RaspberryPi
- Human Activity Recognition with OpenCV and Deep Learning ~ A. Rosebrock #PyimageSearch #HumanActivityRecognition #VideoRecognition #KineticsDataset #3DConvs
- 3 ways to create a Keras model with TensorFlow 2.0 (Sequential, Functional, and Model Subclassing) ~ A. Rosebrock #PyimageSearch #Keras #Tensorflow
- Python VS Common Lisp, workflow and ecosystem ~ H. Beg #ProgrammingLanguages #Lisp #Python
- Interactive Convolutional Neural Network ~ V. Alto #Streamlit #ConvolutionalNeuralNetworks #Interactive #Visualization
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ~ M. Tan #ConvolutionalNeuralNetworks #ImageClassification #EfficientNet #NeuralArchitectureSearch #ModelScaling
- Deep Learning for Symbolic Mathematics ~ G. Lample #DeepLearning #ComputerAlgebraSystems
- What’s Hidden in a Randomly Weighted Neural Network? ~ V. Ramanujan #UntrainedNetworks #Subnetworks #LotteryTicket
- The Ethics of AI Ethics – An Evaluation of Guidelines ~ T. Hagendorff #Ethics #Guidelines
- Mask R-CNN ~ K. He #ObjectDetection #SemanticSegmentation #MultiTaskLearning
- Self-training with Noisy Student improves ImageNet classification ~ Q. Xie #SelfTraining #ImageClassification #SemiSupervisedLearning #EfficientNet
- Nimbus — Cloud Segmentation using Deep Learning for Agriculture. ~ G. Rahman #Copernicus #Agriculture #IDERioja #SemanticSegmentation
- The “many worlds” design pattern ~ P. Moura #DesignPatterns #Programming #Prolog
- The Doers and The Clarion Callers ~ Delip #ArtificialIntelligence #Connectionism #Symbolism
- Revisiting Self-Supervised Visual Representation Learning ~ A. Kolesnikov #SelfSupervisedLearning #RepresentationLearning
- Multi-task Self-Supervised Visual Learning ~ C. Doersch #SelfSupervisedLearning #MultiTaskLearning #RepresentationLearning
- nbdev: use Jupyter Notebooks for everything ~ J. Howard #JupyterNotebooks #ProgrammingEnvironment #Python
- Improved Techniques for Training GANs ~ T. Salimans #GANs #TrainingMethods #SemiSupervisedLearning
- Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities ~ M. Goyal #MedicalImaging #Review #Datasets
- Bayesian deep learning with Fastai : how not to be uncertain about your uncertainty ~ D. Huynh #BayesianNeuralNetworks #FastAI
- How I created over 100,000 labeled LEGO training images ~ D. West #Annotation
- The revolution in computing education at school: opportunity and challenge ~ S. Peyton Jones #ComputerScience #Education
- How to make your papers run: executable formal semantics for your language ~ T. Freund #FormalMethods #Makam #OperationalSemantics
- Fairness and machine learning ~ S. Barocas #Ethics #Fairness
- The Mind at Work: Guido van Rossum on how Python makes thinking in code easier ~ A. Wing Kosner #Programming #Python
- Cross-validation pitfalls when selecting andassessing regression and classification models ~ D. Krstajic #CrossValidation #MachineLearning #ProperEvaluation
- AI today and tomorrow is mostly about curve fitting, not intelligence ~ K. Marko #ArtificialIntelligence #ArtificialGeneralIntelligence
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks ~ A. Radford #GANs
- Generative Adversarial Nets ~ I. Goodfellow. #GANs
- Self-supervised Visual Feature Learning withDeep Neural Networks: A Survey ~ L. Jing #SelfSupervisedLearning #TransferLearning
- PlantDoc: A Dataset for Visual Plant Disease Detection ~ D. Singh #Datasets #ObjectDetection
- Multi-task Self-supervised Object Detectionvia Recycling of Bounding Box Annotations ~ W. Lee #SelfSupervisedLearning #ObjectDetection #MultiClassLearning
- Realistic Evaluation of Deep Semi-Supervised Learning Algorithms ~ A. Oliver #SemiSupervisedLearning #Evaluation #ImageClassification
- S4L: Self-Supervised Semi-Supervised Learning ~ X. Zhai #SelfSupervisedLearning #SemiSupervisedLearning
- Coverage Testing of Deep Learning Models using Dataset Characterization ~ S. Mani #Testing #DeepLearning
- Backing off towards simplicity - why baselines need more love ~ S. Merity #Baselines #DeepLearning
- The compute and data moats are dead ~ S. Merity #BigData #LimitedComputation
- Single Headed Attention RNN: Stop Thinking With Your Head ~ S. Merity #NaturalLanguageProcessing #LanguageModelling
- Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data ~ N. Papernot #DifferentialPrivacy #PATE #Ensemble #SemiSupervisedLearning
- Enhance PATE on Complex Tasks With Knowledge Transferred From Non-Private Data ~ L. Wang #DifferentialPrivacy #Ensemble #ImageClassification
- Scalable Private Learning with PATE ~ N. Papernot #DifferentialPrivacy #Ensemble
- Why differential privacy is awesome ~ D. Desfontaines #DifferentialPrivacy #Security #Series
- Differential Privacy ~ N. Papernot #DifferentialPrivacy #Security
- RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices ~ C. Chen #ObjectDetection #Mobile #SmallNetworks
- YOLO-LITE: A Real-Time Object DetectionAlgorithm Optimized for Non-GPU Computers ~ R. Huang. #ObjectDetection #Mobile #SmallNetworks
- 14 Different Types of Learning in Machine Learning ~ J. Brownlee #Classification #SemiSupervisedLearning #SelfSupervisedLearning
- Understanding UMAP ~ A. Coenen #DimensionalityReduction
- MnasNet: Platform-Aware Neural Architecture Search for Mobile ~ M. Tan #AutoML #NeuralArchitectureSearch #Mobile
- Auto is the new black — Google AutoML, Microsoft Automated ML, AutoKeras and auto-sklearn ~ F. Santiago #AutoML
- Model interpretability — Making your model confess: Shapley values ~ F. Santiago #Interpretability #Fairness #Privacy #Robustness #Causality #Trust
- YOLO, SSD, FPN and RetinaNet, more unified ones ~ J. Jeong #ObjectDetection #Architectures
- Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors ~ Z. Wu #AdversialAttacks #ObjectDetectors
- Generative Adversarial Networks for Augmenting Training Data of Microscopic Cell Images ~ P. Baniukiewicz #DataAugmentation #Microscopy #GANs
- On Recent Research Auditing Commercial Facial Analysis Technology ~ Concerned Researchers #Ethics #FaceRecognition
- Weak Supervision: A New Programming Paradigm for Machine Learning ~ A. Ratner #WeakSupervision
- The Clockwise/Spiral Rule ~ D. Anderson #C++
- EfficientDet: Scalable and Efficient Object Detection ~ M. Tan #ObjectDetection
- A formal proofof the expressiveness of deep learning ~ A. Bentkamp #Isabelle/HOL #MachineLearningProofs
- Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees ~ A. Bagnall #Coq #MachineLearningProofs #Tensorflow
- A Formal Proof of PAC Learnability for Decision Stumps ~ J. Tassarotti. #TheoremProving #AdrianLanguage
- How to create buttons in Jupyter ~ D. Penilla #JupyterNotebooks #Interaction
- How to train YOLOv3 using Darknet on Colab ~ D. Ibáñez #Colab #ObjectDetection #YOLO
- Training an Object Detection Model with TensorFlow API using Google COLAB ~ N. O. Solomon #ObjectDetection #Colab
- Semisupervised and curriculum learning conference #CurriculumLearning #SupervisedLearning #Conference
- Multi-Modal Curriculum Learning forSemi-Supervised Image Classification ~ C. Gong #SemiSupervisedLearning #CurriculumLearning #ImageClassification
- Curriculum Learning ~ Y. Bengio #CurriculumLearning
- Selective Brain Damage: Measuring the Disparate Impact of Model Compression ~ S. Hooker #Prunning #NeuralCompression
- Machine learning has revealed exactly how much of a Shakespeare play was written by someone else ~ P. Plecháč #NaturalLanguageProcessing
- The Eighty Five Percent Rule for optimal learning ~ R. C. Wilson. #CurriculumLearning #Learning #LearningRate
- Artificial intelligence in the fight against river blindness ~ Klarmann-Schulz #MedicalImages #ArtificialIntelligence
- Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection ~ F. J. Martinez-de-Pison #GeneticAlgorithms #HyperparameterTuning # FeatureSelection
- Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY ~ F. J. Martinez-de-Pison #GeneticAlgorithms #HyperparameterTuning # FeatureSelection
- 8 Books for Getting Started With Computer Vision ~ J. Brownlee #ComputerVision #Books
- FaceNet: A Unified Embedding for Face Recognition and Clustering ~ F. Schroff #FaceRecognition #TripletLoss
- Billion-scale similarity search with GPUs ~ J. Johnson #SimilaritySearch #GPUs
- Siamese Neural Networks for One-shot Image Recognition ~ G. Koch #OneShotLearning #SiameseNetworks
- Image similarity using Triplet Loss ~ S. Das #TripletLoss
- U-Nets with ResNet Encoders and cross connections ~ C. Thomas #FastAI #UNet
- Distilling a Neural Network into a soft decision tree ~ N. Frosst. #Explanability #Distillation #SemiSupervisedLearning
- Qué es la teoría de categorías y cómo se ha convertido en tendencia ~ J. Baez #TeoriaCategorias #Logica
- DeepImageJ: A user-friendly plugin to run deep learning models in ImageJ ~ E. Gómez-de-Mariscal #ImageJ #DeepLearning
- Attention? Attention! ~ L. Weng #Attention #NLP
- Self-Supervised Representation Learning ~ L. Weng #SemiSupervised #Survey #PretextTasks
- Learning Data Augmentation Strategies for Object Detection ~ B. Zoph. #DataAugmentation #ObjectDetection #AutoML
- Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules ~ B. Sanchez-Lengeling #GraphNeuralNetworks #Molecules #Scent
- A Comprehensive Survey on Graph Neural Networks ~ Z. Wu. #Survey #GraphNeuralNetworks
- Mathematics for Machine Learning ~ M. P. Deisenroth. #Book #MachineLearning #Mathematics
- DeepXplore: Automated Whitebox Testing of Deep Learning Systems ~ K. Pei #DeepLearning #Interpretability #Reliability
- End-so-end differentiable learning of protein structure ~ M. AlQuraishi #DeepLearning #Proteins
- Distance-based Protein Folding Powered by Deep Learning ~ J. Xu #DeepLearning #Proteins
- Improving Medical AI Safety by Addressing Hidden Stratification ~ Luke Oakden-Rayner #AISafety
- Keras vs. tf.keras: What’s the difference in TensorFlow 2.0? ~ A. Rosebrock #PyimageSearch #Keras #TensorflowV2
- Billion-scale semi-supervised learning for state-of-the-art image and video classification ~ I. Zeki Yalniz. #SemiSupervisedLearning #WeakSupervisedLearning
- Machine Learning: The High-Interest Credit Card of Technical Debt ~ D. Sculley. #MachineLearning #TechnicalRisks
- Why is my validation loss lower than my training loss? ~ A. Rosebrock #Pyimagesearch #ValidationLoss
- MMDetection: Open MMLab Detection Toolbox and Benchmark ~ K. Chen. #ObjectDetection #Library
- OpenLibra #Libros #Gratuitos
- SlimYOLOv3:Narrower, Faster and Better for Real-Time UAV Applications ~ P. Zhang. #ObjectDetection #Yolo #ModelPrunning
- 5 Important Changes Coming with TensorFlow 2.0 ~ G. Seif #Tensorflow #DeepLearning
- Billion-scale semi-supervised learning for image classification ~ I. Zeki Yalniz #SemiSupervisedLearning #ImageClassification
- Translating Mathematical Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training ~ Z. Wang. #EncoderDecoder #LSTM #CNNs #OCR
- Learning Robust Global Representations by Penalizing Local Predictive Power ~ H. Wang. #ImageClassification #Robustness #GlobalPatterns
- Rectified Adam (RAdam) optimizer with Keras ~ A. Rosebrock #PyimageSearch #Optimization
- AutoML for Data Augmentation. ~ Barış Özmen. #DeepLearning #AutoML #ImageAugmentation
- SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network ~ Yancheng Bai. #GANs #SuperResolution #ObjectDetection
- Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR ~ Nick Byrne. #MedicalImages #SemanticSegmentation #ImageAugmentation #Topology
- Halt the use of facial-recognition technology until it is regulated ~ Kate Crawford. #FaceRecognition #Ethics
- Building an Image Hashing Search Engine with VP-Trees and OpenCV ~ Adrian Rosebrock. #ImageProcessing #SearchEngine #OpenCV #VPTree #PyImageSearch
- Two-hidden-layer feedforward networks are universal approximators: a constructive approach ~ Rocío González-Díaz #NeuralNetworks #SimplicialComplexes #UniversalTheorem
- Fruit Images for Object Detection ~ Muhammed Buyukkinaci. #Datasets #ObjectDetection
- Data Distillation: Towards Omni-Supervised Learning ~ Ilija Radosavovic. #SemiSupervisedLearning #Ensembles #DataDistillation #OmniSupervisedLearning
- Omni-Supervised Learning: Scaling Upto Large Unlabelled Medical Datasets ~ Ruobing Huang. #MedicalImages #OmniSupervisedLearning
- Facebook Believes in Omni-Supervised Learning ~ Jesus Rodriguez. #OmniSupervisedLearning #DeepLearning
- Label Propagation for Deep Semi-supervised Learning ~ Ahmet Iscen. #SemiSupervisedLearning #ImageClassification #TransductiveLearning
- Neural Networks seem to follow a puzzlingly simple strategy to classify images ~ W. Brendel. #ImageClassification #DeepLearning #BagOfFeatures #Interpretability
- Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming ~ C. Michaelis. #ObjectDetection #AdversialAttacks #Robustness. Associated benchmark.
- When Conventional Wisdom Fails: Revisiting Data Augmentation for Self-Driving Cars ~ M. Cooper. #ImageAugmentation #AblationStudy #ObjectDetection #DataConsistency
- Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study ~ L. Faes. #AutoML #ImageClassification #MedicalImages
- https://martinfowler.com/articles/cd4ml.html ~ D. Sato. #ContinuousDelivery #MachineLearning
- AI for filmmaking ~ R. Somali. #ImageClassification #FastAI #Resnet
- Transfer learning: the dos and don’ts ~ C. Von Csefalvay. #TransferLearning #DeepLearning #Recipes
- The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development ~ M. J. Smith. #AutoML #PapersWithCode
- Hidden Technical Debt in Machine Learning Systems ~ D. Ebner. #MachineLearning #Development #Risks
- World Models: Can agents learn inside of their own dreams ~ D. Ha. #ReinforcementLearning #GANs
- Unsupervised Representation Learning by Predicting Image Rotations ~ S. Gidaris. #ImageClassification #SelfSupervisedLearning #DataAugmentation
- Data labeling made simple (and cheap) ~ F. Degroote. #ObjectDetection #AutoLabelling #Lime
- “Why Should I Trust You?” Explaining the Predictions of Any Classifier ~ M. T. Ribeiro. #Interpretability #Lime #Explainability
- Google DeepMind might have just solved the “Black Box” problem in medical AI ~ S. Ruyu Qi. #Interpretability #Healthcare #Unet
- IMO Grand Challenge ~ D. Selsam #Lean #AutomatedTheoremProving #MathematicalOlympiad
- The Great Theorem Prover Showdown ~ H. Wayne. #FormalMethods #Challenge #FunctionalProgramming
- La deuda de la Inteligencia Artificial con el matemático Gödel ~ J. Muñoz de la Cuesta. #Lógica #IA
- Knowledge distillation for semi-superviseddomain adaptation ~ M. Orbes-Arteaga. #SemiSupervisedLearning #DataDistillation
- Okay, Maybe Proofs Aren’t Dying After All ~ J. Horgan. #Mathematics #ITP
- Domain-Specific Languages Guide ~ M. Fowler. #DSL
- Quantum supremacy using a programmable superconducting processor ~ Google AI Quantum and collaborators. #QuantumComputing
- Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors ~ Y. Gandelsman #ImageSegmentation #DeepLearning
- Review: DCN — Deformable Convolutional Networks, 2nd Runner Up in 2017 COCO Detection (Object Detection) ~ S-H. Tsang #DeepLearning #ObjectDetection #ImageSegmentation
- Lookahead Optimizer:k steps forward, 1 step back ~ M. R. Zhang. #MachineLearning #OptimizationAlgorithm
- Anomaly Detection — Another Challenge for Artificial Intelligence ~ Sciforce. #AnomalyDetection
- ENet — A Deep Neural Architecture for Real-Time Semantic Segmentation ~ Arunava #SemanticSegmentation #DeepLearning
- Analyzing Computer Vision Data - The Good, the Bad and the Ugly ~ O. Zendel. #ComputerVision #Dasasets #Curation
- Quality Assessment for Crowdsourced Object Annotations ~ S. Vittayakorn. #ComputerVision #Dasasets #Quality
- LabelMe: A Database and Web-Based Tool for Image Annotation ~ B. C. Russell. #ObjectDetection #ImageAnnotation
- The Machine Learning Reproducibility Checklist ~ J. Pineau. #MachineLearning #Reproducibility
- Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom ~ L. Deslauriers. #Teaching #ActiveMethodologies
- Privacy-Preserving AI in Medical Imaging: Federated Learning, Differential Privacy, and Encrypted Computation ~ E. Bluemke. #ArtificialIntelligence #Privacy #FederatedLearning #DifferentialPrivacy #EncryptedComputation #MedicalImages
- ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness ~ R. Geirhos. #ImageClassification #Robustness
- Transfusion: Understanding Transfer Learning for Medical Imaging ~ M. Raghu. #TransferLearning #MedicalImages
- Rethinking ImageNet Pre-training ~ K. He. #TransferLearning #ObjectDetection