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NeurIPS 2019 Papers with Code/Data

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We identified more than 70 NIPS-2019 papers that have code or data published. We list all of them in the following table. Since the extraction step is done by machines, we may miss some papers. Let us know if more papers can be added to this table.

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Title Authors Code
1 Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim link
2 Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation Qiming ZHANG, Jing Zhang, Wei Liu, Dacheng Tao link
3 Metric Learning for Adversarial Robustness Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray link
4 DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, Ulrich Neumann link
5 Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos Yitian Yuan, Lin Ma, Jingwen Wang, Wei Liu, Wenwu Zhu link
6 ETNet: Error Transition Network for Arbitrary Style Transfer Chunjin Song, Zhijie Wu, Yang Zhou, Minglun Gong, Hui Huang link
7 Deep Equilibrium Models Shaojie Bai, J. Zico Kolter, Vladlen Koltun link
8 Network Pruning via Transformable Architecture Search Xuanyi Dong, Yi Yang link
9 Learning Conditional Deformable Templates with Convolutional Networks Adrian Dalca, Marianne Rakic, John Guttag, Mert Sabuncu link
10 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu link
11 NeurVPS: Neural Vanishing Point Scanning via Conic Convolution Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma link
12 Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao link
13 Learning to Propagate for Graph Meta-Learning LU LIU, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang link
14 Region-specific Diffeomorphic Metric Mapping Zhengyang Shen, Francois-Xavier Vialard, Marc Niethammer link
15 Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui, Haotao N. Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu link
16 CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang, Gabriel Bender, Quoc V. Le, Jiquan Ngiam link
17 Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution Thang Vu, Hyunjun Jang, Trung X. Pham, Chang Yoo link
18 Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun link
19 Guided Similarity Separation for Image Retrieval Chundi Liu, Guangwei Yu, Maksims Volkovs, Cheng Chang, Himanshu Rai, Junwei Ma, Satya Krishna Gorti link
20 Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu, Andrew Davison, Edward Johns link
21 Learnable Tree Filter for Structure-preserving Feature Transform Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng link
22 Visualizing the PHATE of Neural Networks Scott Gigante, Adam S. Charles, Smita Krishnaswamy, Gal Mishne link
23 More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David Cox link
24 Discovering Neural Wirings Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari link
25 Knowledge Extraction with No Observable Data Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang link
26 Ultrametric Fitting by Gradient Descent Giovanni Chierchia, Benjamin Perret link
27 SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel Bowman link
28 Ultra Fast Medoid Identification via Correlated Sequential Halving Tavor Baharav, David Tse link
29 MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization Shangyu Chen, Wenya Wang, Sinno Jialin Pan link
30 PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph Yikang LI, Tao Ma, Yeqi Bai, Nan Duan, Sining Wei, Xiaogang Wang link
31 Understanding Attention and Generalization in Graph Neural Networks Boris Knyazev, Graham W. Taylor, Mohamed Amer link
32 Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K. Duvenaud, Raquel Urtasun, Richard Zemel link
33 Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn, Sungmin Cha, Donggyu Lee, Taesup Moon link
34 Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations Xu Wang, Jingming He, Lin Ma link
35 End to end learning and optimization on graphs Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe link
36 Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks Lixin Fan, Kam Woh Ng, Chee Seng Chan link
37 PHYRE: A New Benchmark for Physical Reasoning Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross Girshick link
38 On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, Anca Dragan link
39 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans link
40 Face Reconstruction from Voice using Generative Adversarial Networks Yandong Wen, Bhiksha Raj, Rita Singh link
41 Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion Yiqi Zhong, Cho-Ying Wu, Suya You, Ulrich Neumann link
42 Ouroboros: On Accelerating Training of Transformer-Based Language Models Qian Yang, Zhouyuan Huo, Wenlin Wang, Lawrence Carin link
43 AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification Ronghui You, Zihan Zhang, Ziye Wang, Suyang Dai, Hiroshi Mamitsuka, Shanfeng Zhu link
44 Deep Model Transferability from Attribution Maps Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song link
45 Diffeomorphic Temporal Alignment Nets Ron A. Shapira Weber, Matan Eyal, Nicki Skafte, Oren Shriki, Oren Freifeld link
46 Fast AutoAugment Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim link
47 Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun link
48 Multi-source Domain Adaptation for Semantic Segmentation Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer link
49 SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies Seyed Kamyar Seyed Ghasemipour, Shixiang (Shane) Gu, Richard Zemel link
50 Solving Interpretable Kernel Dimensionality Reduction Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer Dy link
51 Post training 4-bit quantization of convolutional networks for rapid-deployment Ron Banner, Yury Nahshan, Daniel Soudry link
52 Adaptively Aligned Image Captioning via Adaptive Attention Time Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen link
53 Sobolev Independence Criterion Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cicero Nogueira dos Santos link
54 Zero-shot Knowledge Transfer via Adversarial Belief Matching Paul Micaelli, Amos J. Storkey link
55 Evaluating Protein Transfer Learning with TAPE Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Peter Chen, John Canny, Pieter Abbeel, Yun Song link
56 Region Mutual Information Loss for Semantic Segmentation Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai link
57 Image Captioning: Transforming Objects into Words Simao Herdade, Armin Kappeler, Kofi Boakye, Joao Soares link
58 Adversarial Fisher Vectors for Unsupervised Representation Learning Joshua Susskind, Shuangfei Zhai, Walter Talbott, Carlos Guestrin link
59 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers Hadi Salman, Jerry Li, Ilya Razenshteyn, Pengchuan Zhang, Huan Zhang, Sebastien Bubeck, Greg Yang link
60 Learning Neural Networks with Adaptive Regularization Han Zhao, Yao-Hung Hubert Tsai, Russ R. Salakhutdinov, Geoffrey J. Gordon link
61 Exact sampling of determinantal point processes with sublinear time preprocessing Michal Derezinski, Daniele Calandriello, Michal Valko link
62 Online Continual Learning with Maximal Interfered Retrieval Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia link
63 Root Mean Square Layer Normalization Biao Zhang, Rico Sennrich link
64 Implicit Semantic Data Augmentation for Deep Networks Yulin Wang, Xuran Pan, Shiji Song, Hong Zhang, Gao Huang, Cheng Wu link
65 Provably robust boosted decision stumps and trees against adversarial attacks Maksym Andriushchenko, Matthias Hein link
66 Unified Language Model Pre-training for Natural Language Understanding and Generation Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon link
67 Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game Ngoc-Trung Tran, Viet-Hung Tran, Bao-Ngoc Nguyen, Linxiao Yang, Ngai-Man (Man) Cheung link
68 Learning to Optimize in Swarms Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen link
69 Learning Representations by Maximizing Mutual Information Across Views Philip Bachman, R Devon Hjelm, William Buchwalter link
70 Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse, Didier Chetelat, Nicola Ferroni, Laurent Charlin, Andrea Lodi link
71 TAB-VCR: Tags and Attributes based VCR Baselines Jingxiang Lin, Unnat Jain, Alexander Schwing link
72 End-to-End Learning on 3D Protein Structure for Interface Prediction Raphael Townshend, Rishi Bedi, Patricia Suriana, Ron Dror link