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NeurIPS 2019 paper/news汇总,极市团队整理

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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

  1. 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

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NeurIPS 2019 paper/news汇总,极市团队整理

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