├── NeurIPS2019_links.xlsx └── README.md /NeurIPS2019_links.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/extreme-assistant/nips2019/b68f5d818e2c278fcc9112295115e2a924e9a314/NeurIPS2019_links.xlsx -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # NeurIPS 2019 2 | NeurIPS 2019 paper／news汇总，极市团队整理
3 | 时间：2019年12月8日-14日在加拿大温哥华举办
4 | 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
5 | 接收论文：https://neurips.cc/Conferences/2019/AcceptedPapersInitial（感谢[@hzxie](https://github.com/hzxie))

6 | 7 | 接收论文信息
8 | 26.Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
9 | 作者： Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré
10 | 论文链接：https://arxiv.org/abs/1909.06349
11 | 12 |
13 | 25.Adaptive Scheduling for Multi-Task Learning
14 | 作者：Sébastien Jean, Orhan Firat, Melvin Johnson
15 | 论文链接：https://arxiv.org/abs/1909.06434
16 | 17 |
18 | 24.Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations
19 | 作者：Sawyer Birnbaum, Volodymyr Kuleshov, Zayd Enam, Pang Wei Koh, Stefano Ermon
20 | 论文链接：https://arxiv.org/abs/1909.06628
21 | 22 |
23 | 23.A Step Toward Quantifying Independently Reproducible Machine Learning Research
24 | 作者：Edward Raff
25 | 论文链接：https://arxiv.org/abs/1909.06674
26 | 27 |
28 | 22.Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive ConvolutionSpotlight
29 | 作者：Thang Vu, Hyunjun Jang, Trung X. Pham, Chang D. Yoo
30 | 论文链接：https://arxiv.org/abs/1909.06720
31 | Github链接：https://github.com/thangvubk/Cascade-RPN.git
32 |
33 | 21.Bayesian Optimization under Heavy-tailed Payoffs
34 | 作者：ayak Ray Chowdhury, Aditya Gopalan
35 | 论文链接：https://arxiv.org/abs/1909.07040
36 | 37 |
38 | 20.Band-Limited Gaussian Processes: The Sinc Kernel
39 | 作者：Felipe Tobar
40 | 论文链接：https://arxiv.org/abs/1909.07279
41 | 42 |
43 | 19.Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
44 | 作者： Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang
45 | 论文链接：https://arxiv.org/abs/1909.07588
46 | 47 |
48 | 18.Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
49 | 作者：Lixin Fan, Kam Woh Ng, Chee Seng Chan
50 | 论文链接：https://arxiv.org/abs/1909.07830
51 | Github链接：https://github.com/kamwoh/DeepIPR
52 |
53 | 17.Multi-mapping Image-to-Image Translation via Learning Disentanglement
54 | 作者：Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li
55 | 论文链接：https://arxiv.org/abs/1909.07877
56 | Github链接：https://github.com/Xiaoming-Yu/DMIT
57 |
58 | 16.Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
59 | 作者：Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
60 | 论文链接：https://arxiv.org/abs/1909.08174
61 | Github链接：github.com/youzhonghui/gate-decorator-pruning
62 |
63 | 15.Hyper-Graph-Network Decoders for Block Codes
64 | 作者：Eliya Nachmani, Lior Wolf
65 | 论文链接：https://arxiv.org/abs/1909.09036
66 | 67 |
68 | 14.Adaptively Aligned Image Captioning via Adaptive Attention Time
69 | 作者：Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen
70 | 论文链接：https://arxiv.org/abs/1909.09060
71 | Github链接：https://github.com/husthuaan/AAT
72 |
73 | 13.Weighted Linear Bandits for Non-Stationary Environments
74 | 作者：Yoan Russac, Claire Vernade, Olivier Cappé
75 | 论文链接：https://arxiv.org/abs/1909.09146
76 | 77 |
78 | 12.Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
79 | 作者：Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon
80 | 论文链接：https://arxiv.org/abs/1909.09314
81 | 82 |
83 | 11.Computing Full Conformal Prediction Set with Approximate Homotopy
84 | 作者：Eugene Ndiaye, Ichiro Takeuchi
85 | 论文链接：https://arxiv.org/abs/1909.09365
86 | 87 |
88 | 10.Verified Uncertainty Calibration
89 | 作者：Ananya Kumar, Percy Liang, Tengyu Ma
90 | 论文链接：https://arxiv.org/abs/1909.10155
91 | 92 |
93 | 9.Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
94 | 作者：Daniel Levy, John C. Duchi
95 | 论文链接：https://arxiv.org/abs/1909.10455
96 | 97 |
98 | 8.Explicitly disentangling image content from translation and rotation with spatial-VAE
99 | 作者： Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
100 | 论文链接：https://arxiv.org/abs/1909.11663
101 | 102 |
103 | 7.Joint-task Self-supervised Learning for Temporal Correspondence
104 | 作者：Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang
105 | 论文链接：https://arxiv.org/abs/1909.11895
106 | 107 |
108 | 6.Deep Model Transferability from Attribution Maps
109 | 作者：Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song
110 | 论文链接：https://arxiv.org/abs/1909.11902
111 | 112 |
113 | 5.Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
114 | 作者：Tengyu Xu, Shaofeng Zou, Yingbin Liang
115 | 论文链接：https://arxiv.org/abs/1909.11907
116 | 117 |
118 | 4.Debiased Bayesian inference for average treatment effects
119 | 作者：Kolyan Ray, Botond Szabo
120 | 论文链接：https://arxiv.org/abs/1909.12078
121 | 122 |
123 | 3.Implicit Semantic Data Augmentation for Deep Networks
124 | 作者：Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Cheng Wu, Gao Huang
125 | 论文链接：https://arxiv.org/abs/1909.12220
126 | Github链接：https://github.com/blackfeather-wang/ISDA-for-Deep-Networks
127 |
128 | 129 | 2. Characterizing Bias in Classifiers using Generative Models
130 | 作者： Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
131 | 论文链接： https://arxiv.org/abs/1906.11891

132 | 133 | 1.Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
134 | 作者：Jia-Wang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid
135 | 项目链接：https://jwbian.net/sc-sfmlearner
136 | 论文链接：https://arxiv.org/abs/1908.10553
137 | GitHub：https://github.com/JiawangBian/SC-SfMLearner-Release
138 | 139 | 140 | --------------------------------------------------------------------------------