Elamur Research⌕
☰
home / venues / NeurIPS / 2020 / papers / page 2

NeurIPS 2020: all accepted papers

315 papers · page 2 of 4 · the most cited first · ← NeurIPS 2020

1 2 3 4

  1. Stochastic Normalization ↗Zhi Kou, Kaichao You, Mingsheng Long et al.21 citations
  2. Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning ↗Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam et al.20 citations
  3. Exploiting weakly supervised visual patterns to learn from partial annotations ↗Kaustav Kundu, Joseph Tighe20 citations
  4. Counterfactual Vision-and-Language Navigation: Unravelling the Unseen ↗Amin Parvaneh, Ehsan Abbasnejad, Damien Teney et al.18 citations
  5. Distribution Matching for Crowd Counting ↗Boyu Wang, Huidong Liu, Dimitris Samaras et al.18 citations
  6. Domain adaptation with conditional distribution matching and generalized label shift ↗Rémi Tachet des Combes, Han Zhao, Yu-Xiang Wang et al.18 citations
  7. On Efficiency in Hierarchical Reinforcement Learning ↗Zheng Wen, Doina Precup, Morteza Ibrahimi et al.18 citations
  8. UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection ↗Yunhang Shen, Rongrong Ji, Zhiwei Chen et al.18 citations
  9. Variational Amodal Object Completion ↗Huan Ling, David Acuna, Karsten Kreis et al.18 citations
  10. Auto Learning Attention ↗Benteng Ma, Jing Zhang, Yong Xia et al.17 citations
  11. Batch normalization provably avoids ranks collapse for randomly initialised deep networks ↗Hadi Daneshmand, Jonas Köhler, Francis Bach et al.17 citations
  12. Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration ↗Yao Liu, Adith Swaminathan, Alekh Agarwal et al.17 citations
  13. STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks ↗Meiyi Ma, Ji Gao, Lu Feng et al.17 citations
  14. Counterfactual Prediction for Bundle Treatment ↗Hao Zou, Peng Cui, Bo Li et al.16 citations
  15. Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning ↗Runzhong Wang, Junchi Yan, Xiaokang Yang16 citations
  16. Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms ↗Hilal Asi, John C. Duchi16 citations
  17. Interpretable sequence learning for COVID-19 forecasting ↗Sercan Ö. Arık, Chunliang Li, Jinsung Yoon et al.16 citations
  18. Learning Invariances in Neural Networks from Training Data. ↗Gregory W. Benton, Marc Finzi, Pavel Izmailov et al.16 citations
  19. MOReL: Model-Based Offline Reinforcement Learning ↗Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli et al.16 citations
  20. 3D Self-Supervised Methods for Medical Imaging ↗Aiham Taleb, Winfried Loetzsch, Noel Danz et al.15 citations
  21. A Fair Classifier Using Kernel Density Estimation ↗Jaewoong Cho, Gyeongjo Hwang, Changho Suh15 citations
  22. Adapting Neural Architectures Between Domains ↗Yanxi Li, Zhaohui Yang, Yunhe Wang et al.15 citations
  23. Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks ↗Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri et al.15 citations
  24. Deep Rao-Blackwellised Particle Filters for Time Series Forecasting ↗Richard Kurle, Syama Sundar Rangapuram, Emmanuel de Bézenac et al.15 citations
  25. Discovering Symbolic Models from Deep Learning with Inductive Biases ↗Miles Cranmer, Álvaro Sánchez‐González, Peter Battaglia et al.15 citations
  26. Falcon: Fast Spectral Inference on Encrypted Data ↗Qian Lou, Wenjie Lu, Hong Cheng et al.15 citations
  27. Learning Causal Effects via Weighted Empirical Risk Minimization ↗Yonghan Jung, Jin Wen Tian, Elias Bareinboim15 citations
  28. Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning ↗Weishi Shi, Xujiang Zhao, Feng Chen et al.15 citations
  29. Probabilistic Time Series Forecasting with Shape and Temporal Diversity ↗Vincent Le Guen, Nicolas Thome15 citations
  30. Reconsidering Generative Objectives For Counterfactual Reasoning ↗Danni Lu, Chenyang Tao, Junya Chen et al.15 citations
  31. Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes ↗Hao Chen, Lili Zheng, Raed Al Kontar et al.15 citations
  32. Adversarial Attacks on Deep Graph Matching ↗Zijie Zhang, Zeru Zhang, Yang Zhou et al.14 citations
  33. Balanced Meta-Softmax for Long-Tailed Visual Recognition ↗Jiawei Ren, Cunjun Yu, shunan sheng et al.14 citations
  34. Data Diversification: A Simple Strategy For Neural Machine Translation ↗Xuan-Phi Nguyen, Shafiq Joty, Kui Wu et al.14 citations
  35. Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases ↗Senthil Purushwalkam, Abhinav Gupta14 citations
  36. Efficient Clustering Based On A Unified View Of K-means And Ratio-cut ↗Shenfei Pei, Feiping Nie, Rong Wang et al.14 citations
  37. Multiparameter Persistence Image for Topological Machine Learning ↗Mathieu Carrière, Andrew J. Blumberg14 citations
  38. Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations ↗Zhuoran Yang, Chi Jin, Zhaoran Wang et al.14 citations
  39. AdaTune: Adaptive Tensor Program Compilation Made Efficient ↗Menghao Li, Minjia Zhang, Chi Wang et al.13 citations
  40. Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm ↗Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi et al.13 citations
  41. Learning Multi-Agent Communication Through Structured Attentive Reasoning ↗Murtaza Rangwala, Ryan K. Williams13 citations
  42. Soft Contrastive Learning for Visual Localization ↗Janine Thoma, Danda Pani Paudel, Luc Van Gool13 citations
  43. Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning ↗Jianda Chen, Shangyu Chen, Sinno Jialin Pan13 citations
  44. AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning ↗Hao Zhang, Yuan Li, Zhijie Deng et al.12 citations
  45. Collapsing Bandits and Their Application to Public Health Intervention ↗Aditya Mate, Jackson A. Killian, Haifeng Xu et al.12 citations
  46. Differentiable Meta-Learning of Bandit Policies. ↗Craig E. Boutilier, Chih‐Wei Hsu, Branislav Kveton et al.12 citations
  47. Efficient estimation of neural tuning during naturalistic behavior ↗Edoardo Balzani, Kaushik J. Lakshminarasimhan, Dora E. Angelaki et al.12 citations
  48. Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms ↗Sascha Saralajew, Lars Holdijk, Thomas Villmann12 citations
  49. Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency ↗Fang Zhao, Shengcai Liao, Kaihao Zhang et al.12 citations
  50. Neural FFTs for Universal Texture Image Synthesis ↗Morteza Mardani, Guilin Liu, Ayşegül Dündar et al.12 citations
  51. Non-Crossing Quantile Regression for Distributional Reinforcement Learning ↗Fan Zhou, Jianing Wang, Xingdong Feng12 citations
  52. Online Decision Based Visual Tracking via Reinforcement Learning ↗Ke Song, Wei Zhang, Ran Song et al.12 citations
  53. Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization ↗Wei Wang, Min-Ling Zhang12 citations
  54. Understanding spiking networks through convex optimization ↗Allan Mancoo, Sander Keemink, Christian K. Machens12 citations
  55. Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach ↗Luofeng Liao, You-Lin Chen, Zhuoran Yang et al.11 citations
  56. Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. ↗Hao Long Tang, Zhiao Huang, Jiayuan Gu et al.11 citations
  57. UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging ↗Chu Zhou, Hang Zhao, Jin Han et al.11 citations
  58. Universal Domain Adaptation through Self Supervision ↗Kuniaki Saito, Donghyun Kim, Stan Sclaroff et al.11 citations
  59. Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis ↗Gang Wang, Songtao Lu, Georgios B. Giannakis et al.10 citations
  60. Efficient Low Rank Gaussian Variational Inference for Neural Networks ↗Marcin B. Tomczak, Siddharth Swaroop, Richard E. Turner10 citations
  61. Escaping the Gravitational Pull of Softmax ↗Jincheng Mei, Chenjun Xiao, Bo Dai et al.10 citations
  62. GCN meets GPU: Decoupling “When to Sample” from “How to Sample” ↗Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi et al.10 citations
  63. Learning to Detect Objects with a 1 Megapixel Event Camera ↗Etienne Pérot, Pierre de Tournemire, Davide Oscar Nitti et al.10 citations
  64. Meta-learning from Tasks with Heterogeneous Attribute Spaces ↗Tomoharu Iwata, Atsutoshi Kumagai10 citations
  65. MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers ↗Wenhui Wang, Furu Wei, Li Dong et al.10 citations
  66. Rankmax: An Adaptive Projection Alternative to the Softmax Function ↗Weiwei Kong, Walid Krichene, Nicolas Mayoraz et al.10 citations
  67. A new convergent variant of Q-learning with linear function approximation ↗Diogo S. Carvalho, Francisco S. Melo, Pedro A. Santos9 citations
  68. Biologically Inspired Mechanisms for Adversarial Robustness ↗Manish Reddy Vuyyuru, Andrzej Banburski, Nishka Pant et al.9 citations
  69. Decentralized Langevin Dynamics for Bayesian Learning ↗Anjaly Parayil, He Bai, Jemin George et al.9 citations
  70. Fair Multiple Decision Making Through Soft Interventions ↗Yaowei Hu, Yongkai Wu, Lu Zhang et al.9 citations
  71. Instance-wise Feature Grouping ↗Aria Masoomi, Chieh Wu, Tingting Zhao et al.9 citations
  72. Self-supervised Co-Training for Video Representation Learning ↗Tengda Han, Weidi Xie, Andrew Zisserman9 citations
  73. Unsupervised Learning of Object Landmarks via Self-Training Correspondence ↗Dimitrios Mallis, Enrique Sánchez, Matthew Bell et al.9 citations
  74. A graph similarity for deep learning ↗Seongmin Ok8 citations
  75. Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization ↗Samuel Daulton, Maximilian Balandat, Eytan Bakshy8 citations
  76. Is Long Horizon RL More Difficult Than Short Horizon RL ↗Ruosong Wang, Simon S. Du, Lin Forrest Yang et al.8 citations
  77. Learning Semantic-aware Normalization for Generative Adversarial Networks ↗Heliang Zheng, Jianlong Fu, Yanhong Zeng et al.8 citations
  78. Optimal visual search based on a model of target detectability in natural images ↗Shima Rashidi, Krista A. Ehinger, Andrew H. Turpin et al.8 citations
  79. POMO: Policy Optimization with Multiple Optima for Reinforcement Learning ↗Yeong‐Dae Kwon, Jinho Choo, Byoungjip Kim et al.8 citations
  80. Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations ↗Joel Dapello, Tiago Marques, Martin Schrimpf et al.8 citations
  81. Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity ↗Simon S. Du, Jason D. Lee, Gaurav Mahajan et al.7 citations
  82. Agnostic learning with multiple objectives ↗Corinna Cortes, Mehryar Mohri, Javier Gonzalvo et al.7 citations
  83. Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks ↗Junsouk Choi, Robert S. Chapkin, Yang Ni7 citations
  84. Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions ↗Shom Banerjee7 citations
  85. Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform ↗Jonathan Lacotte, Sifan Liu, Edgar Dobriban et al.7 citations
  86. Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations ↗Kevin Scaman, Cédric Malherbe7 citations
  87. Stochastic Deep Gaussian Processes over Graphs ↗Naiqi Li, Wenjie Li, Jifeng Sun et al.7 citations
  88. Towards Better Generalization of Adaptive Gradient Methods ↗Yingxue Zhou, Belhal Karimi, Jingxin Yu et al.7 citations
  89. A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm ↗Gersende Fort, Éric Moulines, Hoi-To Wai6 citations
  90. Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web ↗Zhenwei Dai, Anshumali Shrivastava6 citations
  91. Bayesian Multi-type Mean Field Multi-agent Imitation Learning ↗Fan Yang, Alina Vereshchaka, Changyou Chen et al.6 citations
  92. Cooperative Multi-player Bandit Optimization ↗Ilai Bistritz, Nicholas Bambos6 citations
  93. Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network ↗Chaojie Wang, Hao Zhang, Bo Chen et al.6 citations
  94. Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function ↗Quoc Tran Dinh, Deyi Liu, Lam M. Nguyen6 citations
  95. Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery ↗Yingjie Wang, Hong Chen, Feng Zheng et al.6 citations
  96. On Learning Ising Models under Huber's Contamination Model ↗Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan et al.6 citations
  97. Random Reshuffling is Not Always Better ↗De Sa, M Christopher6 citations
  98. Reinforcement Learning for Control with Multiple Frequencies ↗Jong‐Min Lee, Byung-Jun Lee, Kee Eung Kim6 citations
  99. Self-Supervised Generative Adversarial Compression. ↗Chong Yu, Jeff Pool6 citations
  100. The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification ↗Yihao Lv, Youzhi Gu, Xinggao Liu6 citations

1 2 3 4

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/2/