---
title: "NeurIPS 2020 — all accepted papers, page 2 — the most cited first"
description: "All 315 papers of NeurIPS 2020 · page 2 of 4, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / [2020](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/) / [papers](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/) / page 2

# NeurIPS 2020: all accepted papers

315 papers · page 2 of 4 · the most cited first · [← NeurIPS 2020](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/) **2** [3](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/3/) [4](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/4/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/3/)

101. **[Stochastic Normalization ↗](https://proceedings.neurips.cc/paper/2020/file/bc573864331a9e42e4511de6f678aa83-Paper.pdf)**Zhi Kou, Kaichao You, Mingsheng Long et al.*21 citations*
102. **[Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning ↗](https://proceedings.neurips.cc/paper/2020/file/6cd9313ed34ef58bad3fdd504355e72c-Paper.pdf)**Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam et al.*20 citations*
103. **[Exploiting weakly supervised visual patterns to learn from partial annotations ↗](https://assets.amazon.science/71/5b/71d0dcc6420397a946503da10ff9/exploiting-weakly-supervised-visual-patterns-to-learn-from-partial-annotations.pdf)**Kaustav Kundu, Joseph Tighe*20 citations*
104. **[Counterfactual Vision-and-Language Navigation: Unravelling the Unseen ↗](https://proceedings.neurips.cc/paper/2020/file/39016cfe079db1bfb359ca72fcba3fd8-Paper.pdf)**Amin Parvaneh, Ehsan Abbasnejad, Damien Teney et al.*18 citations*
105. **[Distribution Matching for Crowd Counting ↗](https://proceedings.neurips.cc/paper/2020/file/118bd558033a1016fcc82560c65cca5f-Paper.pdf)**Boyu Wang, Huidong Liu, Dimitris Samaras et al.*18 citations*
106. **[Domain adaptation with conditional distribution matching and generalized label shift ↗](https://proceedings.neurips.cc/paper/2020/file/dfbfa7ddcfffeb581f50edcf9a0204bb-Paper.pdf)**Rémi Tachet des Combes, Han Zhao, Yu-Xiang Wang et al.*18 citations*
107. **[On Efficiency in Hierarchical Reinforcement Learning ↗](https://proceedings.neurips.cc/paper/2020/file/4a5cfa9281924139db466a8a19291aff-Paper.pdf)**Zheng Wen, Doina Precup, Morteza Ibrahimi et al.*18 citations*
108. **[UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection ↗](https://proceedings.neurips.cc/paper/2020/file/4e0928de075538c593fbdabb0c5ef2c3-Paper.pdf)**Yunhang Shen, Rongrong Ji, Zhiwei Chen et al.*18 citations*
109. **[Variational Amodal Object Completion ↗](https://proceedings.neurips.cc/paper/2020/file/bacadc62d6e67d7897cef027fa2d416c-Paper.pdf)**Huan Ling, David Acuna, Karsten Kreis et al.*18 citations*
110. **[Auto Learning Attention ↗](https://proceedings.neurips.cc/paper/2020/file/103303dd56a731e377d01f6a37badae3-Paper.pdf)**Benteng Ma, Jing Zhang, Yong Xia et al.*17 citations*
111. **[Batch normalization provably avoids ranks collapse for randomly initialised deep networks ↗](https://proceedings.neurips.cc/paper/2020/file/d5ade38a2c9f6f073d69e1bc6b6e64c1-Paper.pdf)**Hadi Daneshmand, Jonas Köhler, Francis Bach et al.*17 citations*
112. **[Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration ↗](https://papers.nips.cc/paper/2020/file/0dc23b6a0e4abc39904388dd3ffadcd1-Paper.pdf)**Yao Liu, Adith Swaminathan, Alekh Agarwal et al.*17 citations*
113. **[STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks ↗](https://papers.nips.cc/paper/2020/file/a7da6ba0505a41b98bd85907244c4c30-Paper.pdf)**Meiyi Ma, Ji Gao, Lu Feng et al.*17 citations*
114. **[Counterfactual Prediction for Bundle Treatment ↗](https://papers.nips.cc/paper/2020/file/e430ad64df3de73e6be33bcb7f6d0dac-Paper.pdf)**Hao Zou, Peng Cui, Bo Li et al.*16 citations*
115. **[Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning ↗](https://papers.nips.cc/paper/2020/file/e6384711491713d29bc63fc5eeb5ba4f-Paper.pdf)**Runzhong Wang, Junchi Yan, Xiaokang Yang*16 citations*
116. **[Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms ↗](https://papers.nips.cc/paper/2020/file/a267f936e54d7c10a2bb70dbe6ad7a89-Paper.pdf)**Hilal Asi, John C. Duchi*16 citations*
117. **[Interpretable sequence learning for COVID-19 forecasting ↗](https://papers.nips.cc/paper/2020/file/d9dbc51dc534921589adf460c85cd824-Paper.pdf)**Sercan Ö. Arık, Chunliang Li, Jinsung Yoon et al.*16 citations*
118. **[Learning Invariances in Neural Networks from Training Data. ↗](https://papers.nips.cc/paper/2020/file/cc8090c4d2791cdd9cd2cb3c24296190-Paper.pdf)**Gregory W. Benton, Marc Finzi, Pavel Izmailov et al.*16 citations*
119. **[MOReL: Model-Based Offline Reinforcement Learning ↗](https://proceedings.neurips.cc/paper/2020/file/f7efa4f864ae9b88d43527f4b14f750f-Paper.pdf)**Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli et al.*16 citations*
120. **[3D Self-Supervised Methods for Medical Imaging ↗](https://proceedings.neurips.cc/paper/2020/file/d2dc6368837861b42020ee72b0896182-Paper.pdf)**Aiham Taleb, Winfried Loetzsch, Noel Danz et al.*15 citations*
121. **[A Fair Classifier Using Kernel Density Estimation ↗](https://proceedings.neurips.cc/paper/2020/file/ac3870fcad1cfc367825cda0101eee62-Paper.pdf)**Jaewoong Cho, Gyeongjo Hwang, Changho Suh*15 citations*
122. **[Adapting Neural Architectures Between Domains ↗](https://proceedings.neurips.cc/paper/2020/file/08f38e0434442128fab5ead6217ca759-Paper.pdf)**Yanxi Li, Zhaohui Yang, Yunhe Wang et al.*15 citations*
123. **[Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks ↗](https://proceedings.neurips.cc/paper/2020/file/609a199881ca4ba9c95688235cd6ac5c-Paper.pdf)**Hongwei Jin, Zhan Shi, Venkata Jaya Shankar Ashish Peruri et al.*15 citations*
124. **[Deep Rao-Blackwellised Particle Filters for Time Series Forecasting ↗](https://assets.amazon.science/5d/1e/9c438222467a80d504d1c7bf4771/deep-rao-blackwellised-particle-filters-for-time-series-forecasting.pdf)**Richard Kurle, Syama Sundar Rangapuram, Emmanuel de Bézenac et al.*15 citations*
125. **[Discovering Symbolic Models from Deep Learning with Inductive Biases ↗](https://proceedings.neurips.cc/paper/2020/file/c9f2f917078bd2db12f23c3b413d9cba-Paper.pdf)**Miles Cranmer, Álvaro Sánchez‐González, Peter Battaglia et al.*15 citations*
126. **[Falcon: Fast Spectral Inference on Encrypted Data ↗](https://papers.nips.cc/paper/2020/file/18fc72d8b8aba03a4d84f66efabce82e-Paper.pdf)**Qian Lou, Wenjie Lu, Hong Cheng et al.*15 citations*
127. **[Learning Causal Effects via Weighted Empirical Risk Minimization ↗](https://papers.nips.cc/paper/2020/file/95a6fc111fa11c3ab209a0ed1b9abeb6-Paper.pdf)**Yonghan Jung, Jin Wen Tian, Elias Bareinboim*15 citations*
128. **[Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning ↗](https://proceedings.neurips.cc/paper/2020/file/c80d9ba4852b67046bee487bcd9802c0-Paper.pdf)**Weishi Shi, Xujiang Zhao, Feng Chen et al.*15 citations*
129. **[Probabilistic Time Series Forecasting with Shape and Temporal Diversity ↗](https://proceedings.neurips.cc/paper/2020/file/2f2b265625d76a6704b08093c652fd79-Paper.pdf)**Vincent Le Guen, Nicolas Thome*15 citations*
130. **[Reconsidering Generative Objectives For Counterfactual Reasoning ↗](https://proceedings.neurips.cc/paper/2020/file/f5cfbc876972bd0d031c8abc37344c28-Paper.pdf)**Danni Lu, Chenyang Tao, Junya Chen et al.*15 citations*
131. **[Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes ↗](https://proceedings.neurips.cc/paper/2020/file/1cb524b5a3f3f82be4a7d954063c07e2-Paper.pdf)**Hao Chen, Lili Zheng, Raed Al Kontar et al.*15 citations*
132. **[Adversarial Attacks on Deep Graph Matching ↗](https://proceedings.neurips.cc/paper/2020/file/ef126722e64e98d1c33933783e52eafc-Paper.pdf)**Zijie Zhang, Zeru Zhang, Yang Zhou et al.*14 citations*
133. **[Balanced Meta-Softmax for Long-Tailed Visual Recognition ↗](https://proceedings.neurips.cc/paper/2020/file/2ba61cc3a8f44143e1f2f13b2b729ab3-Paper.pdf)**Jiawei Ren, Cunjun Yu, shunan sheng et al.*14 citations*
134. **[Data Diversification: A Simple Strategy For Neural Machine Translation ↗](https://oar.a-star.edu.sg/jspui/bitstream/123456789/4729/1/data-diversification-a-simple-strategy-for-neural-machine-translation.pdf)**Xuan-Phi Nguyen, Shafiq Joty, Kui Wu et al.*14 citations*
135. **[Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases ↗](https://proceedings.neurips.cc/paper/2020/file/22f791da07b0d8a2504c2537c560001c-Paper.pdf)**Senthil Purushwalkam, Abhinav Gupta*14 citations*
136. **[Efficient Clustering Based On A Unified View Of K-means And Ratio-cut ↗](https://papers.nips.cc/paper/2020/file/aa108f56a10e75c1f20f27723ecac85f-Paper.pdf)**Shenfei Pei, Feiping Nie, Rong Wang et al.*14 citations*
137. **[Multiparameter Persistence Image for Topological Machine Learning ↗](https://papers.nips.cc/paper/2020/file/fdff71fcab656abfbefaabecab1a7f6d-Paper.pdf)**Mathieu Carrière, Andrew J. Blumberg*14 citations*
138. **[Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations ↗](https://proceedings.neurips.cc/paper/2020/file/9fa04f87c9138de23e92582b4ce549ec-Paper.pdf)**Zhuoran Yang, Chi Jin, Zhaoran Wang et al.*14 citations*
139. **[AdaTune: Adaptive Tensor Program Compilation Made Efficient ↗](https://proceedings.neurips.cc/paper/2020/file/a9b7ba70783b617e9998dc4dd82eb3c5-Paper.pdf)**Menghao Li, Minjia Zhang, Chi Wang et al.*13 citations*
140. **[Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm ↗](https://proceedings.neurips.cc/paper/2020/file/e655c7716a4b3ea67f48c6322fc42ed6-Paper.pdf)**Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi et al.*13 citations*
141. **[Learning Multi-Agent Communication Through Structured Attentive Reasoning ↗](https://openreview.net/pdf?id=H1lVIxHtPS)**Murtaza Rangwala, Ryan K. Williams*13 citations*
142. **[Soft Contrastive Learning for Visual Localization ↗](https://proceedings.neurips.cc/paper/2020/file/7f2cba89a7116c7c6b0a769572d5fad9-Paper.pdf)**Janine Thoma, Danda Pani Paudel, Luc Van Gool*13 citations*
143. **[Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning ↗](https://openreview.net/pdf?id=S1ewjhEFwr)**Jianda Chen, Shangyu Chen, Sinno Jialin Pan*13 citations*
144. **[AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning ↗](https://proceedings.neurips.cc/paper/2020/file/0a2298a72858d90d5c4b4fee954b6896-Paper.pdf)**Hao Zhang, Yuan Li, Zhijie Deng et al.*12 citations*
145. **[Collapsing Bandits and Their Application to Public Health Intervention ↗](https://proceedings.neurips.cc/paper/2020/file/b460cf6b09878b00a3e1ad4c72344ccd-Paper.pdf)**Aditya Mate, Jackson A. Killian, Haifeng Xu et al.*12 citations*
146. **[Differentiable Meta-Learning of Bandit Policies. ↗](https://proceedings.neurips.cc/paper/2020/file/171ae1bbb81475eb96287dd78565b38b-Paper.pdf)**Craig E. Boutilier, Chih‐Wei Hsu, Branislav Kveton et al.*12 citations*
147. **[Efficient estimation of neural tuning during naturalistic behavior ↗](https://proceedings.neurips.cc/paper/2020/file/94d2a3c6dd19337f2511cdf8b4bf907e-Paper.pdf)**Edoardo Balzani, Kaushik J. Lakshminarasimhan, Dora E. Angelaki et al.*12 citations*
148. **[Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms ↗](https://proceedings.neurips.cc/paper/2020/file/9da187a7a191431db943a9a5a6fec6f4-Paper.pdf)**Sascha Saralajew, Lars Holdijk, Thomas Villmann*12 citations*
149. **[Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency ↗](https://proceedings.neurips.cc/paper/2020/file/a516a87cfcaef229b342c437fe2b95f7-Paper.pdf)**Fang Zhao, Shengcai Liao, Kaihao Zhang et al.*12 citations*
150. **[Neural FFTs for Universal Texture Image Synthesis ↗](https://papers.nips.cc/paper/2020/file/a23156abfd4a114c35b930b836064e8b-Paper.pdf)**Morteza Mardani, Guilin Liu, Ayşegül Dündar et al.*12 citations*
151. **[Non-Crossing Quantile Regression for Distributional Reinforcement Learning ↗](https://proceedings.neurips.cc/paper/2020/file/b6f8dc086b2d60c5856e4ff517060392-Paper.pdf)**Fan Zhou, Jianing Wang, Xingdong Feng*12 citations*
152. **[Online Decision Based Visual Tracking via Reinforcement Learning ↗](https://proceedings.neurips.cc/paper/2020/file/885b2c7a6deb4fea10f319c4ce993e02-Paper.pdf)**Ke Song, Wei Zhang, Ran Song et al.*12 citations*
153. **[Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization ↗](https://proceedings.neurips.cc/paper/2020/file/4dea382d82666332fb564f2e711cbc71-Paper.pdf)**Wei Wang, Min-Ling Zhang*12 citations*
154. **[Understanding spiking networks through convex optimization ↗](https://proceedings.neurips.cc/paper/2020/file/64714a86909d401f8feb83e8c2d94b23-Paper.pdf)**Allan Mancoo, Sander Keemink, Christian K. Machens*12 citations*
155. **[Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach ↗](https://proceedings.neurips.cc/paper/2020/file/65a99bb7a3115fdede20da98b08a370f-Paper.pdf)**Luofeng Liao, You-Lin Chen, Zhuoran Yang et al.*11 citations*
156. **[Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. ↗](https://proceedings.neurips.cc/paper/2020/file/b64a70760bb75e3ecfd1ad86d8f10c88-Paper.pdf)**Hao Long Tang, Zhiao Huang, Jiayuan Gu et al.*11 citations*
157. **[UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging ↗](https://proceedings.neurips.cc/paper/2020/file/1102a326d5f7c9e04fc3c89d0ede88c9-Paper.pdf)**Chu Zhou, Hang Zhao, Jin Han et al.*11 citations*
158. **[Universal Domain Adaptation through Self Supervision ↗](https://proceedings.neurips.cc/paper/2020/file/bb7946e7d85c81a9e69fee1cea4a087c-Paper.pdf)**Kuniaki Saito, Donghyun Kim, Stan Sclaroff et al.*11 citations*
159. **[Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis ↗](https://proceedings.neurips.cc/paper/2020/file/9ec51f6eb240fb631a35864e13737bca-Paper.pdf)**Gang Wang, Songtao Lu, Georgios B. Giannakis et al.*10 citations*
160. **[Efficient Low Rank Gaussian Variational Inference for Neural Networks ↗](https://papers.nips.cc/paper/2020/file/310cc7ca5a76a446f85c1a0d641ba96d-Paper.pdf)**Marcin B. Tomczak, Siddharth Swaroop, Richard E. Turner*10 citations*
161. **[Escaping the Gravitational Pull of Softmax ↗](https://proceedings.neurips.cc/paper/2020/file/f1cf2a082126bf02de0b307778ce73a7-Paper.pdf)**Jincheng Mei, Chenjun Xiao, Bo Dai et al.*10 citations*
162. **[GCN meets GPU: Decoupling “When to Sample” from “How to Sample” ↗](https://proceedings.neurips.cc/paper/2020/file/d714d2c5a796d5814c565d78dd16188d-Paper.pdf)**Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi et al.*10 citations*
163. **[Learning to Detect Objects with a 1 Megapixel Event Camera ↗](https://proceedings.neurips.cc/paper/2020/file/c213877427b46fa96cff6c39e837ccee-Paper.pdf)**Etienne Pérot, Pierre de Tournemire, Davide Oscar Nitti et al.*10 citations*
164. **[Meta-learning from Tasks with Heterogeneous Attribute Spaces ↗](https://papers.nips.cc/paper/2020/file/438124b4c06f3a5caffab2c07863b617-Paper.pdf)**Tomoharu Iwata, Atsutoshi Kumagai*10 citations*
165. **[MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers ↗](https://proceedings.neurips.cc/paper/2020/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf)**Wenhui Wang, Furu Wei, Li Dong et al.*10 citations*
166. **[Rankmax: An Adaptive Projection Alternative to the Softmax Function ↗](https://proceedings.neurips.cc/paper/2020/file/070dbb6024b5ef93784428afc71f2146-Paper.pdf)**Weiwei Kong, Walid Krichene, Nicolas Mayoraz et al.*10 citations*
167. **[A new convergent variant of Q-learning with linear function approximation ↗](https://papers.nips.cc/paper/2020/file/e1696007be4eefb81b1a1d39ce48681b-Paper.pdf)**Diogo S. Carvalho, Francisco S. Melo, Pedro A. Santos*9 citations*
168. **[Biologically Inspired Mechanisms for Adversarial Robustness ↗](https://proceedings.neurips.cc/paper/2020/file/17256f049f1e3fede17c7a313f7657f4-Paper.pdf)**Manish Reddy Vuyyuru, Andrzej Banburski, Nishka Pant et al.*9 citations*
169. **[Decentralized Langevin Dynamics for Bayesian Learning ↗](https://proceedings.neurips.cc/paper/2020/file/b8043b9b976639acb17b035ab8963f18-Paper.pdf)**Anjaly Parayil, He Bai, Jemin George et al.*9 citations*
170. **[Fair Multiple Decision Making Through Soft Interventions ↗](https://proceedings.neurips.cc/paper/2020/file/d0921d442ee91b896ad95059d13df618-Paper.pdf)**Yaowei Hu, Yongkai Wu, Lu Zhang et al.*9 citations*
171. **[Instance-wise Feature Grouping ↗](https://proceedings.neurips.cc/paper/2020/file/9b10a919ddeb07e103dc05ff523afe38-Paper.pdf)**Aria Masoomi, Chieh Wu, Tingting Zhao et al.*9 citations*
172. **[Self-supervised Co-Training for Video Representation Learning ↗](https://proceedings.neurips.cc/paper/2020/file/3def184ad8f4755ff269862ea77393dd-Paper.pdf)**Tengda Han, Weidi Xie, Andrew Zisserman*9 citations*
173. **[Unsupervised Learning of Object Landmarks via Self-Training Correspondence ↗](https://papers.nips.cc/paper/2020/file/32508f53f24c46f685870a075eaaa29c-Paper.pdf)**Dimitrios Mallis, Enrique Sánchez, Matthew Bell et al.*9 citations*
174. **[A graph similarity for deep learning ↗](https://papers.neurips.cc/paper/2020/file/0004d0b59e19461ff126e3a08a814c33-Paper.pdf)**Seongmin Ok*8 citations*
175. **[Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization ↗](https://papers.nips.cc/paper/2020/file/6fec24eac8f18ed793f5eaad3dd7977c-Paper.pdf)**Samuel Daulton, Maximilian Balandat, Eytan Bakshy*8 citations*
176. **[Is Long Horizon RL More Difficult Than Short Horizon RL ↗](https://proceedings.neurips.cc/paper/2020/file/6734fa703f6633ab896eecbdfad8953a-Paper.pdf)**Ruosong Wang, Simon S. Du, Lin Forrest Yang et al.*8 citations*
177. **[Learning Semantic-aware Normalization for Generative Adversarial Networks ↗](https://papers.nips.cc/paper/2020/file/f885a14eaf260d7d9f93c750e1174228-Paper.pdf)**Heliang Zheng, Jianlong Fu, Yanhong Zeng et al.*8 citations*
178. **[Optimal visual search based on a model of target detectability in natural images ↗](https://papers.nips.cc/paper/2020/file/691dcb1d65f31967a874d18383b9da75-Paper.pdf)**Shima Rashidi, Krista A. Ehinger, Andrew H. Turpin et al.*8 citations*
179. **[POMO: Policy Optimization with Multiple Optima for Reinforcement Learning ↗](https://proceedings.neurips.cc/paper/2020/file/f231f2107df69eab0a3862d50018a9b2-Paper.pdf)**Yeong‐Dae Kwon, Jinho Choo, Byoungjip Kim et al.*8 citations*
180. **[Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations ↗](https://proceedings.neurips.cc/paper/2020/file/98b17f068d5d9b7668e19fb8ae470841-Paper.pdf)**Joel Dapello, Tiago Marques, Martin Schrimpf et al.*8 citations*
181. **[Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity ↗](https://proceedings.neurips.cc/paper/2020/file/fd5c905bcd8c3348ad1b35d7231ee2b1-Paper.pdf)**Simon S. Du, Jason D. Lee, Gaurav Mahajan et al.*7 citations*
182. **[Agnostic learning with multiple objectives ↗](https://proceedings.neurips.cc/paper/2020/file/ebea2325dc670423afe9a1f4d9d1aef5-Paper.pdf)**Corinna Cortes, Mehryar Mohri, Javier Gonzalvo et al.*7 citations*
183. **[Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks ↗](https://papers.nips.cc/paper/2020/file/4175a4b46a45813fccf4bd34c779d817-Paper.pdf)**Junsouk Choi, Robert S. Chapkin, Yang Ni*7 citations*
184. **[Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions ↗](https://papers.nips.cc/paper/2020/hash/f12a6a7477077af66212ef0813bcf332-Abstract.html)**Shom Banerjee*7 citations*
185. **[Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform ↗](https://papers.nips.cc/paper/2020/file/6e69ebbfad976d4637bb4b39de261bf7-Paper.pdf)**Jonathan Lacotte, Sifan Liu, Edgar Dobriban et al.*7 citations*
186. **[Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations ↗](https://proceedings.neurips.cc/paper/2020/file/bd4d08cd70f4be1982372107b3b448ef-Paper.pdf)**Kevin Scaman, Cédric Malherbe*7 citations*
187. **[Stochastic Deep Gaussian Processes over Graphs ↗](https://papers.nips.cc/paper/2020/file/415e1af7ea95f89f4e375162b21ae38c-Paper.pdf)**Naiqi Li, Wenjie Li, Jifeng Sun et al.*7 citations*
188. **[Towards Better Generalization of Adaptive Gradient Methods ↗](https://proceedings.neurips.cc/paper/2020/file/08fb104b0f2f838f3ce2d2b3741a12c2-Paper.pdf)**Yingxue Zhou, Belhal Karimi, Jingxin Yu et al.*7 citations*
189. **[A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm ↗](https://proceedings.neurips.cc/paper/2020/file/c589c3a8f99401b24b9380e86d939842-Paper.pdf)**Gersende Fort, Éric Moulines, Hoi-To Wai*6 citations*
190. **[Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web ↗](https://proceedings.neurips.cc/paper/2020/file/86b94dae7c6517ec1ac767fd2c136580-Paper.pdf)**Zhenwei Dai, Anshumali Shrivastava*6 citations*
191. **[Bayesian Multi-type Mean Field Multi-agent Imitation Learning ↗](https://proceedings.neurips.cc/paper/2020/file/19eca5979ccbb752778e6c5f090dc9b6-Paper.pdf)**Fan Yang, Alina Vereshchaka, Changyou Chen et al.*6 citations*
192. **[Cooperative Multi-player Bandit Optimization ↗](https://proceedings.neurips.cc/paper/2020/file/15ae3b9d6286f1b2a489ea4f3f4abaed-Paper.pdf)**Ilai Bistritz, Nicholas Bambos*6 citations*
193. **[Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network ↗](https://proceedings.neurips.cc/paper/2020/file/05ee45de8d877c3949760a94fa691533-Paper.pdf)**Chaojie Wang, Hao Zhang, Bo Chen et al.*6 citations*
194. **[Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function ↗](https://proceedings.neurips.cc/paper/2020/file/7f141cf8e7136ce8701dc6636c2a6fe4-Paper.pdf)**Quoc Tran Dinh, Deyi Liu, Lam M. Nguyen*6 citations*
195. **[Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery ↗](https://proceedings.neurips.cc/paper/2020/file/8767bccb1ff4231a9962e3914f4f1f8f-Paper.pdf)**Yingjie Wang, Hong Chen, Feng Zheng et al.*6 citations*
196. **[On Learning Ising Models under Huber's Contamination Model ↗](https://papers.nips.cc/paper/2020/file/bca382c81484983f2d437f97d1e141f3-Paper.pdf)**Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan et al.*6 citations*
197. **[Random Reshuffling is Not Always Better ↗](https://proceedings.neurips.cc/paper/2020/file/42299f06ee419aa5d9d07798b56779e2-Paper.pdf)**De Sa, M Christopher*6 citations*
198. **[Reinforcement Learning for Control with Multiple Frequencies ↗](https://papers.nips.cc/paper/2020/file/216f44e2d28d4e175a194492bde9148f-Paper.pdf)**Jong‐Min Lee, Byung-Jun Lee, Kee Eung Kim*6 citations*
199. **[Self-Supervised Generative Adversarial Compression. ↗](https://proceedings.neurips.cc/paper/2020/file/5d79099fcdf499f12b79770834c0164a-Paper.pdf)**Chong Yu, Jeff Pool*6 citations*
200. **[The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification ↗](https://proceedings.neurips.cc/paper/2020/file/c96c08f8bb7960e11a1239352a479053-Paper.pdf)**Yihao Lv, Youzhi Gu, Xinggao Liu*6 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/) **2** [3](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/3/) [4](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/4/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/papers/page/3/)

- [← back to](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2020/) — NeurIPS 2020
