NeurIPS 2019 paper／news汇总，极市团队整理
时间：2019年12月8日-14日在加拿大温哥华举办
说明：总共接收了6743份投稿，最后接收了1428份论文，21.24%的接收率
接收论文：https://neurips.cc/Conferences/2019/AcceptedPapersInitial（感谢[@hzxie](https://github.com/hzxie))
接收论文信息
26.Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
作者： Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré
论文链接：https://arxiv.org/abs/1909.06349
25.Adaptive Scheduling for Multi-Task Learning
作者：Sébastien Jean, Orhan Firat, Melvin Johnson
论文链接：https://arxiv.org/abs/1909.06434
24.Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations
作者：Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam, Pang Wei Koh, Stefano Ermon
论文链接：https://arxiv.org/abs/1909.06628
23.A Step Toward Quantifying Independently Reproducible Machine Learning Research
作者：Edward Raff
论文链接：https://arxiv.org/abs/1909.06674
22.Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive ConvolutionSpotlight
作者：Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo
论文链接：https://arxiv.org/abs/1909.06720
Github链接：https://github.com/thangvubk/Cascade-RPN.git
21.Bayesian Optimization under Heavy-tailed Payoffs
作者：ayak Ray Chowdhury, Aditya Gopalan
论文链接：https://arxiv.org/abs/1909.07040
20.Band-Limited Gaussian Processes: The Sinc Kernel
作者：Felipe Tobar
论文链接：https://arxiv.org/abs/1909.07279
19.Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
作者： Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang
论文链接：https://arxiv.org/abs/1909.07588
18.Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
作者：Lixin Fan, Kam Woh Ng, Chee Seng Chan
论文链接：https://arxiv.org/abs/1909.07830
Github链接：https://github.com/kamwoh/DeepIPR
17.Multi-mapping Image-to-Image Translation via Learning Disentanglement
作者：Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li
论文链接：https://arxiv.org/abs/1909.07877
Github链接：https://github.com/Xiaoming-Yu/DMIT
16.Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
作者：Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
论文链接：https://arxiv.org/abs/1909.08174
Github链接：github.com/youzhonghui/gate-decorator-pruning
15.Hyper-Graph-Network Decoders for Block Codes
作者：Eliya Nachmani, Lior Wolf
论文链接：https://arxiv.org/abs/1909.09036
14.Adaptively Aligned Image Captioning via Adaptive Attention Time
作者：Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen
论文链接：https://arxiv.org/abs/1909.09060
Github链接：https://github.com/husthuaan/AAT
13.Weighted Linear Bandits for Non-Stationary Environments
作者：Yoan Russac, Claire Vernade, Olivier Cappé
论文链接：https://arxiv.org/abs/1909.09146
12.Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
作者：Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon
论文链接：https://arxiv.org/abs/1909.09314
11.Computing Full Conformal Prediction Set with Approximate Homotopy
作者：Eugene Ndiaye, Ichiro Takeuchi
论文链接：https://arxiv.org/abs/1909.09365
10.Verified Uncertainty Calibration
作者：Ananya Kumar, Percy Liang, Tengyu Ma
论文链接：https://arxiv.org/abs/1909.10155
9.Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
作者：Daniel Levy, John C. Duchi
论文链接：https://arxiv.org/abs/1909.10455
8.Explicitly disentangling image content from translation and rotation with spatial-VAE
作者： Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
论文链接：https://arxiv.org/abs/1909.11663
7.Joint-task Self-supervised Learning for Temporal Correspondence
作者：Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang
论文链接：https://arxiv.org/abs/1909.11895
6.Deep Model Transferability from Attribution Maps
作者：Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
论文链接：https://arxiv.org/abs/1909.11902
5.Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
作者：Tengyu Xu, Shaofeng Zou, Yingbin Liang
论文链接：https://arxiv.org/abs/1909.11907
4.Debiased Bayesian inference for average treatment effects
作者：Kolyan Ray, Botond Szabo
论文链接：https://arxiv.org/abs/1909.12078
3.Implicit Semantic Data Augmentation for Deep Networks
作者：Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang
论文链接：https://arxiv.org/abs/1909.12220
Github链接：https://github.com/blackfeather-wang/ISDA-for-Deep-Networks
- Characterizing Bias in Classifiers using Generative Models
作者： Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
论文链接： https://arxiv.org/abs/1906.11891
1.Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
作者：Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid
项目链接：https://jwbian.net/sc-sfmlearner
论文链接：https://arxiv.org/abs/1908.10553
GitHub：https://github.com/JiawangBian/SC-SfMLearner-Release