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NeurIPS 2020 Papers with Code/Data

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We identified >150 NeurIPS 2020 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 Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo, Qizhang Li, Hao Chen link
2 Neuron Merging: Compensating for Pruned Neurons Woojeong Kim, Suhyun Kim, Mincheol Park, Geunseok Jeon link
3 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin A. Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li link
4 Watch out! Motion is Blurring the Vision of Your Deep Neural Networks Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu link
5 Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin link
6 Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh link
7 Distribution Matching for Crowd Counting Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen link
8 Learning Affordance Landscapes for Interaction Exploration in 3D Environments Tushar Nagarajan, Kristen Grauman link
9 Deep Imitation Learning for Bimanual Robotic Manipulation Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson Wong, Rose Yu link
10 Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang, Gao Huang link
11 Interventional Few-Shot Learning Zhongqi Yue, Hanwang Zhang, Qianru Sun, Xian-Sheng Hua link
12 ShiftAddNet: A Hardware-Inspired Deep Network Haoran You, Xiaohan Chen, Yongan Zhang, Chaojian Li, Sicheng Li, Zihao Liu, Zhangyang Wang, Yingyan Lin link
13 Intra-Processing Methods for Debiasing Neural Networks Yash Savani, Colin White, Naveen Sundar Govindarajulu link
14 Restoring Negative Information in Few-Shot Object Detection Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li link
15 Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation Guoliang Kang, Yunchao Wei, Yi Yang, Yueting Zhuang, Alexander Hauptmann link
16 Learning Disentangled Representations of Videos with Missing Data Armand Comas, Chi Zhang, Zlatan Feric, Octavia Camps, Rose Yu link
17 Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis, Elliot Creager, Animesh Garg link
18 Rethinking Learnable Tree Filter for Generic Feature Transform Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Xiangyu Zhang, Hongbin Sun, Jian Sun, Nanning Zheng link
19 Unsupervised Learning of Object Landmarks via Self-Training Correspondence Dimitrios Mallis, Enrique Sanchez, Matthew Bell, Georgios Tzimiropoulos link
20 Learning Representations from Audio-Visual Spatial Alignment Pedro Morgado, Yi Li, Nuno Nvasconcelos link
21 Generative View Synthesis: From Single-view Semantics to Novel-view Images Tewodros Amberbir Habtegebrial, Varun Jampani, Orazio Gallo, Didier Stricker link
22 Deep Multimodal Fusion by Channel Exchanging Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang link
23 Probabilistic Orientation Estimation with Matrix Fisher Distributions David Mohlin, Josephine Sullivan, G�rald Bianchi link
24 HOI Analysis: Integrating and Decomposing Human-Object Interaction Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Yizhuo Li, Cewu Lu link
25 Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak link
26 Feature Importance Ranking for Deep Learning Maksymilian Wojtas, Ke Chen link
27 Certifying Confidence via Randomized Smoothing Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein link
28 Multiscale Deep Equilibrium Models Shaojie Bai, Vladlen Koltun, J. Zico Kolter link
29 Sparse Graphical Memory for Robust Planning Scott Emmons, Ajay Jain, Misha Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak link
30 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li link
31 Towards practical differentially private causal graph discovery Lun Wang, Qi Pang, Dawn Song link
32 Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov, Nicu Sebe link
33 Graph Contrastive Learning with Augmentations Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen link
34 Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking Anqi Wu, E. Kelly Buchanan, Matthew Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andr�s Bendesky, The International Brain Laboratory The International Brain Laboratory, John P. Cunningham, Liam Paninski link
35 Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision Nicolai Hani, Selim Engin, Jun-Jee Chao, Volkan Isler link
36 Unsupervised Data Augmentation for Consistency Training Qizhe Xie, Zihang Dai, Eduard Hovy, Thang Luong, Quoc Le link
37 Sampling from a k-DPP without looking at all items Daniele Calandriello, Michal Derezinski, Michal Valko link
38 Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu link
39 Training Stronger Baselines for Learning to Optimize Tianlong Chen, Weiyi Zhang, Zhou Jingyang, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang link
40 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free Haotao N. Wang, Tianlong Chen, Shupeng Gui, TingKuei Hu, Ji Liu, Zhangyang Wang link
41 Rotated Binary Neural Network Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin link
42 Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han link
43 Heuristic Domain Adaptation shuhao cui, Xuan Jin, Shuhui Wang, Yuan He, Qingming Huang link
44 The NetHack Learning Environment Heinrich K�ttler, Nantas Nardelli, Alexander Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rockt�schel link
45 Improving Generalization in Reinforcement Learning with Mixture Regularization KAIXIN WANG, Bingyi Kang, Jie Shao, Jiashi Feng link
46 Posterior Re-calibration for Imbalanced Datasets Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira link
47 Certified Defense to Image Transformations via Randomized Smoothing Marc Fischer, Maximilian Baader, Martin Vechev link
48 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning Ximeng Sun, Rameswar Panda, Rogerio Feris, Kate Saenko link
49 Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang link
50 Adversarial Learning for Robust Deep Clustering Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu link
51 DynaBERT: Dynamic BERT with Adaptive Width and Depth Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu link
52 Field-wise Learning for Multi-field Categorical Data Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu link
53 Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han, Junyu Gao, Yuan Yuan, Qi Wang link
54 Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding link
55 CoSE: Compositional Stroke Embeddings Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges link
56 Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou link
57 Towards a Better Global Loss Landscape of GANs Ruoyu Sun, Tiantian Fang, Alexander Schwing link
58 UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In Kweon link
59 Stable and expressive recurrent vision models Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex Liu, Thomas Serre link
60 Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng link
61 SIRI: Spatial Relation Induced Network For Spatial Description Resolution peiyao wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao link
62 Monotone operator equilibrium networks Ezra Winston, J. Zico Kolter link
63 Fine-Grained Dynamic Head for Object Detection Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng link
64 RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces Sebastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy Mitra, Andrea Vedaldi link
65 TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning Han Cai, Chuang Gan, Ligeng Zhu, Song Han link
66 Online Decision Based Visual Tracking via Reinforcement Learning ke Song, Wei Zhang, Ran Song, Yibin Li link
67 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin link
68 MATE: Plugging in Model Awareness to Task Embedding for Meta Learning Xiaohan Chen, Zhangyang Wang, Siyu Tang, Krikamol Muandet link
69 Guiding Deep Molecular Optimization with Genetic Exploration Sung-Soo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin link
70 TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation DONGXU LI, Chenchen Xu, Xin Yu, Kaihao Zhang, Benjamin Swift, Hanna Suominen, Hongdong Li link
71 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin link
72 Learning Black-Box Attackers with Transferable Priors and Query Feedback Jiancheng YANG, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao link
73 Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham link
74 Contrastive learning of global and local features for medical image segmentation with limited annotations Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu link
75 Joint Contrastive Learning with Infinite Possibilities Qi Cai, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei link
76 Practical No-box Adversarial Attacks against DNNs Qizhang Li, Yiwen Guo, Hao Chen link
77 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation Yogesh Balaji, Rama Chellappa, Soheil Feizi link
78 Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel link
79 CompRess: Self-Supervised Learning by Compressing Representations Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash link
80 Self-Learning Transformations for Improving Gaze and Head Redirection Yufeng Zheng, Seonwook Park, Xucong Zhang, Shalini De Mello, Otmar Hilliges link
81 Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia link
82 Instance Selection for GANs Terrance DeVries, Michal Drozdzal, Graham W. Taylor link
83 Video Frame Interpolation without Temporal Priors Youjian Zhang, Chaoyue Wang, Dacheng Tao link
84 A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction Ziqi Ke, Haris Vikalo link
85 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control Georgios Mamakoukas, Orest Xherija, Todd Murphey link
86 RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder Cheng Chi, Fangyun Wei, Han Hu link
87 Directional Pruning of Deep Neural Networks Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng link
88 Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He, Murali Annavaram, Salman Avestimehr link
89 GradAug: A New Regularization Method for Deep Neural Networks TAOJIANNAN YANG, Sijie Zhu, Chen Chen link
90 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang link
91 Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao link
92 See, Hear, Explore: Curiosity via Audio-Visual Association Victoria Dean, Shubham Tulsiani, Abhinav Gupta link
93 A Randomized Algorithm to Reduce the Support of Discrete Measures Francesco Cosentino, Harald Oberhauser, Alessandro Abate link
94 Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation Jianyuan Wang, Yiran Zhong, Yuchao Dai, Kaihao Zhang, Pan Ji, Hongdong Li link
95 Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip Torr, Puneet Dokania link
96 A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan link
97 Parametric Instance Classification for Unsupervised Visual Feature learning Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu link
98 Sparse Weight Activation Training Md Aamir Raihan, Tor Aamodt link
99 Collapsing Bandits and Their Application to Public Health Intervention Aditya Mate, Jackson Killian, Haifeng Xu, Andrew Perrault, Milind Tambe link
100 Disentangling Human Error from Ground Truth in Segmentation of Medical Images Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel Alexander link
101 The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin link
102 Understanding and Improving Fast Adversarial Training Maksym Andriushchenko, Nicolas Flammarion link
103 Domain Generalization via Entropy Regularization Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, Dacheng Tao link
104 Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang link
105 DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte link
106 GAN Memory with No Forgetting Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin link
107 AViD Dataset: Anonymized Videos from Diverse Countries AJ Piergiovanni, Michael Ryoo link
108 Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample Shir Gur, Sagie Benaim, Lior Wolf link
109 Lipschitz-Certifiable Training with a Tight Outer Bound Sungyoon Lee, Jaewook Lee, Saerom Park link
110 Unbalanced Sobolev Descent Youssef Mroueh, Mattia Rigotti link
111 CLEARER: Multi-Scale Neural Architecture Search for Image Restoration Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng link
112 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations Mina Konakovic Lukovic, Yunsheng Tian, Wojciech Matusik link
113 SOLOv2: Dynamic and Fast Instance Segmentation Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen link
114 Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu, Muli Yang, Cheng Deng, Wei Liu link
115 Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search Houwen Peng, Hao Du, Hongyuan Yu, QI LI, Jing Liao, Jianlong Fu link
116 Hybrid Models for Learning to Branch Prateek Gupta, Maxime Gasse, Elias Khalil, Pawan Mudigonda, Andrea Lodi, Yoshua Bengio link
117 The MAGICAL Benchmark for Robust Imitation Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell link
118 CoMIR: Contrastive Multimodal Image Representation for Registration Nicolas Pielawski, Elisabeth Wetzer, Johan �fverstedt, Jiahao Lu, Carolina W�hlby, Joakim Lindblad, Natasa Sladoje link
119 Supervised Contrastive Learning Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan link
120 ICNet: Intra-saliency Correlation Network for Co-Saliency Detection Wen-Da Jin, Jun Xu, Ming-Ming Cheng, Yi Zhang, Wei Guo link
121 Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich, Bernhard Sch�fl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, G�nter Klambauer link
122 Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono, Taiji Suzuki link
123 MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu link
124 Weakly Supervised Deep Functional Maps for Shape Matching Abhishek Sharma, Maks Ovsjanikov link
125 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon link
126 Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang, Zhi Xu link
127 Model Rubik�s Cube: Twisting Resolution, Depth and Width for TinyNets Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing XU, Tong Zhang link
128 Wisdom of the Ensemble: Improving Consistency of Deep Learning Models Lijing Wang, Dipanjan Ghosh, Maria Gonzalez Diaz, Ahmed Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav Marathe link
129 Universal Function Approximation on Graphs Rickard Gabrielsson link
130 Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton, iuri frosio link
131 Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra link
132 Black-Box Ripper: Copying black-box models using generative evolutionary algorithms Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu link
133 Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games Stephen Mcaleer, J.B. Lanier, Roy Fox, Pierre Baldi link
134 Factorizable Graph Convolutional Networks Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang link
135 A Study on Encodings for Neural Architecture Search Colin White, Willie Neiswanger, Sam Nolen, Yash Savani link
136 RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain link
137 Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features Robin Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang link
138 RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois Knoll link
139 ContraGAN: Contrastive Learning for Conditional Image Generation Minguk Kang, Jaesik Park link
140 On the distance between two neural networks and the stability of learning Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu link
141 Avoiding Side Effects in Complex Environments Alex Turner, Neale Ratzlaff, Prasad Tadepalli link
142 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters Sulin Liu, Xingyuan Sun, Peter J. Ramadge, Ryan P. Adams link
143 Active Structure Learning of Causal DAGs via Directed Clique Trees Chandler Squires, Sara Magliacane, Kristjan Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam link
144 Neural Unsigned Distance Fields for Implicit Function Learning Julian Chibane, Mohamad Aymen mir, Gerard Pons-Moll link
145 Strongly Incremental Constituency Parsing with Graph Neural Networks Kaiyu Yang, Jia Deng link
146 Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis Ye Yuan, Kris Kitani link
147 Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter link
148 Model Fusion via Optimal Transport Sidak Pal Singh, Martin Jaggi link
149 Graph Random Neural Networks for Semi-Supervised Learning on Graphs Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang link
150 Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec link
151 Hierarchical Neural Architecture Search for Deep Stereo Matching Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge link