Awesome

NeurIPS 2019

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