Locate to EverydayPaper.
Before that, please read Quantum Computation and Quantum Information 10th Anniversary Edition (Michael A. Nielsen & Isaac L. Chuang) first.
| # | Title |
|---|---|
| 001 | Quantum computing for the very curious |
| 002 | Exact entanglement cost of quantum states and channels under positive-partial-transpose-preserving operations |
| 003 | Information recoverability of noisy quantum states |
| 004 | Phase transition in Random Circuit Sampling |
| # | Title |
|---|---|
| 001 | Post Quantum Cryptography: Techniques, Challenges, Standardization, and Directions for Future Research |
| 002 | Post-Quantum Cryptography Algorithm's Standardization and Performance Analysis |
| 003 | Securing the Future Internet of Things with Post-Quantum Cryptography |
| 004 | Resource Guide for Teaching Post-Quantum Cryptography |
| 005 | A Survey of Leakage-Resilient Cryptography |
| # | Title |
|---|---|
| 001 | A Meta-Analysis of the Anomaly Detection Problem |
| 002 | Deep Learning for Anomaly Detection: A Survey |
| 003 | Anomaly Detection: A Survey |
| 004 | FastLOF: An Expectation-Maximization based Local Outlier Detection Algorithm |
| 005 | A Survey of Outlier Detection Methodologies |
| 006 | LOF: Identifying Density-Based Local Outliers |
| 007 | Long Short-Term Memory |
| 008 | Understanding LSTM Networks |
| 009 | ImageNet Classification with Deep Convolutional Neural Networks |
| 010 | Deep Residual Learning for Image Recognition |
| 011 | Gradient-Based Learning Applied to Document Recognition |
| 012 | Very Deep Convolutional Networks for Large-scale Image Recognition |
| 013 | Going deeper with convolutions |
| 014 | You Only Look Once: Unified, Real-Time Object Detection |
| 015 | Rich feature hierarchies for accurate object detection and semantic segmentation |
| 016 | FaceNet: A Unified Embedding for Face Recognition and Clustering |
| 017 | DeepFace: Closing the Gap to Human-Level Performance in Face Verification |
| 018 | Visualizing and Understanding Convolutional Networks |
| 019 | A Neural Algorithm of Artistic Style |
| 020 | On the Properties of Neural Machine Translation: Encoder–Decoder Approaches |
| 021 | Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling |
| 022 | Efficient Estimation of Word Representations in Vector Space |
| 023 | Distributed Representations of Words and Phrases and their Compositionality |
| 024 | Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings |
| 025 | GloVe: Global Vectors for Word Representation |
| 026 | Linguistic Regularities in Continuous Space Word Representations |
| 027 | Neural Machine Translation by Jointly Learning to Aliagn and Translate |
| 028 | BLEU: a Method for Automatic Evaluation of Machine Translation |
| 029 | Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks |
| 030 | SSD: Single Shot MultiBox Detector |
| 031 | Generative Adversarial Nets |
| 032 | Attention is All You Need |
| 033 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
| 034 | Language Models are Unsupervised Multitask Learners |
| 035 | XLNet: Generalized Autoregressive Pretraining for Language Understanding |
| 036 | Latent Dirichlet Allocation |
| 037 | Improving Language Understanding by Generative Pre-Training |
| 038 | Deep contextualized word representations |
| 039 | Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context |
| 040 | Network In Network |
| 041 | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift |
| 042 | Rethinking the Inception Architecture for Computer Vision |
| 043 | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning |
| 044 | Identity Mappings in Deep Residual Networks |
| 045 | Densely Connected Convolutional Networks |
If you want to know more about blockchain and it's concensus algorithms, please read 023, 031, 054, 065 first. Of course, you also can download 009 to know it fully. Or watch the video 《区块链之新》.
| # | Title |
|---|---|
| 001 | 台湾清华大学彭教授对论文的要求 |
| 002 | 基于命名数据网络的区块链信息传输机制 |
| 003 | 基于区块链技术的高效跨域认证方案 |
| 004 | On the Security and Performance of Proof of Work Blockchains |
| 005 | 比特币白皮书zh/比特币白皮书en |
| 006 | 分布式一致性与共识算法 |
| 007 | |
| 008 | 中国区块链技术和应用发展白皮书2016 |
| 009 | |
| 010 | 基于Gossip协议的拜占庭共识算法 |
| 011 | 基于区块链的网络空间安全技术 |
| 012 | PoW 共识算法中的博弈困境分析与优化 |
| 013 | 区块链技术发展现状与展望 |
| 014 | |
| 015 | In Search of an Understandable Consensus Algorithm |
| 016 | Consensus in Bitcoin: One system, many models |
| 017 | 基于DPOS的区块链共识方法和节点/区块链的分组共识方法及系统 |
| 018 | 一种改进的区块链共识机制的研究与实现 |
| 019 | 具有状态合法性验证的区块链一致性算法研究 |
| 020 | 一种应用于区块链的拜占庭容错共识方法 |
| 021 | |
| 022 | 志愿云环境下的拜占庭容错研究 |
| 023 | 区块链技术:架构及进展 |
| 024 | 一种区块链共识机制 |
| 025 | 一种基于BFT共识算法实现的动态节点管理方法 |
| 026 | 一种区块链功耗感知的PoW共识机制 |
| 027 | 一种基于Raft算法的区块链共识机制 |
| 028 | From blockchain consensus back to Byzantine consensus |
| 029 | The Byzantine Generals Problem |
| 030 | Proof of Luck: an Efficient Blockchain Consensus Protocol |
| 031 | 区块链技术与应用前瞻综述 |
| 032 | Federated Byzantine Agreement to Ensure Trustworthiness of Digital Manufacturing Platforms |
| 033 | A Secure Sharding Protocol For Open Blockchains |
| 034 | Mechanising Blockchain Consensus |
| 035 | POSTER: Mining with Proof-of-Probability in Blockchain |
| 036 | Conquering Generals: an NP-Hard Proof of Useful Work |
| 037 | FruitChains- A Fair Blockchain |
| 038 | On the Security and Performance of Proof of WorkBlockchains |
| 039 | RMBC: Randomized Mesh Blockchain Using DBFT Consensus Algorithm |
| 040 | Inclusive Block Chain Protocols |
| 041 | Proof of Stake versus Proof of Work |
| 042 | Bitcoin-NG: A Scalable Blockchain Protocol |
| 043 | Transactions as Proof-of-Stake |
| 044 | Anonymous Byzantine Consensus from Moderately-Hard Puzzles: A Model for Bitcoin |
| 045 | Casper the Friendly Finality Gadget |
| 046 | Bitcoin: A Peer-to-Peer Electronic Cash System |
| 047 | Tendermint: Consensus without Mining |
| 048 | PPCoin: Peer-to-Peer Crypto-Currency with Proof-of-Stake |
| 049 | The Byzantine Generals Problem |
| 050 | A Simpleand Efficient Randomized Byzantine Agreement Algorithm |
| 051 | Comparative analysis of blockchain consensus algorithms |
| 052 | Proof of Vote: A High-Performance Consensus Protocol Based on Vote Mechanism & Consortium Blockchain |
| 053 | Zero-determinant strategy for the algorithm optimize of blockchain PoW consensus |
| 054 | A review on consensus algorithm of blockchain |
| 055 | PoPF: A Consensus Algorithm for JCLedger |
| 056 | A Proof-of-Trust Consensus Protocol for Enhancing Accountability in Crowdsourcing Services |
| 057 | Proof of Contribution: A Modification of Proof of Work to Increase Mining Efficiency |
| 058 | Delegated Proof of Stake: Features & Tradeoffs |
| 059 | Fast Byzantine Consensus |
| 060 | Impossibility of Distributed Consensus with One Faulty Process |
| 061 | In Search of an Understandable Consensus Algorithm |
| 062 | On Security Analysis of Proof-of-Elapsed-Time (PoET) |
| 063 | Proof of Luck: an Efficient Blockchain Consensus Protocol |
| 064 | Proof of Activity: Extending Bitcoin’s Proof of Work via Proof of Stake |
| 065 | Consensus Algorithms: The Root Of The Blockchain Technology |
| 066 | Delegated Proof of Stake: Features & Tradeoffs |
| 067 | DPOS Consensus Algorithm - The Missing White Paper |
| 068 | 基于投票机制的拜占庭容错共识算法 |
| 069 | |
| 070 | 区块链安全问题：研究现状与发展 |
| 071 | 30 种共识算法完全列表 |
| 072 | Proof of Authority |
| 073 | DeFi |