NeurIPS 2021: all accepted papers
- A nonparametric method for gradual change problems with statistical guarantees ↗Lizhen Nie, Dan L. Nicolae
- All Tokens Matter: Token Labeling for Training Better Vision Transformers ↗Zihang Jiang, Qibin Hou, Li Yuan et al.
- Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression ↗Jiabo He, Sarah Erfani, Xingjun Ma et al.
- Answering Complex Causal Queries With the Maximum Causal Set Effect ↗Zachary D. Markovich
- Approximate optimization of convex functions with outlier noise ↗Anindya De, Sanjeev Khanna, Huan Li et al.
- Asymptotically Best Causal Effect Identification with Multi-Armed Bandits ↗Alan Malek, Silvia Chiappa
- Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection ↗Morgane Austern, Vasilis Syrgkanis
- BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market ↗Yang Zhang, Bo Tang, Qingyu Yang et al.
- Best Arm Identification in Contaminated Stochastic Bandits ↗Arpan Mukherjee, Ali Tajer, Pin‐Yu Chen et al.
- Better Algorithms for Individually Fair k-Clustering ↗Maryam Negahbani, Deeparnab Chakrabarty
- BooVI: Provably Efficient Bootstrapped Value Iteration ↗Boyi Liu, Qi Cai, Zhuoran Yang et al.
- Coresets for Classification – Simplified and Strengthened ↗Tung Mai, Cameron Musco, Anup B. Rao
- Deep Extrapolation for Attribute-Enhanced Generation ↗Alvin Chan Guo Wei, Ali Madani, Ben Krause et al.
- Dense Keypoints via Multiview Supervision ↗Zhixuan Yu, Haozheng Yu, Long Sha et al.
- Differentiable Unsupervised Feature Selection based on a Gated Laplacian ↗Ofir Lindenbaum, Uri Shaham, Erez Peterfreund et al.
- Diffusion Models Beat GANs on Image Synthesis ↗Prafulla Dhariwal, Alex Nichol
- Directed Probabilistic Watershed ↗Enrique Fita Sanmartín, Sebastian Damrich, Fred A. Hamprecht
- Dynamic Normalization and Relay for Video Action Recognition ↗Dongqi Cai, Anbang Yao, Yurong Chen
- Efficiently Learning One Hidden Layer ReLU Networks From Queries ↗Sitan Chen, Adam R. Klivans, Raghu Meka
- Entropic Desired Dynamics for Intrinsic Control ↗Steven Hansen, Guillaume Desjardins, Kate Baumli et al.
- Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium ↗Gabriele Farina, Tüomas Sandholm
- Explicit loss asymptotics in the gradient descent training of neural networks ↗Maksim Velikanov, Dmitry Yarotsky
- Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation ↗Shiqi Yang, Yaxing Wang, Joost van de Weijer et al.
- Exploring the Limits of Out-of-Distribution Detection ↗Stanislav Fort, Jie Ren, Balaji Lakshminarayanan
- Exponential Separation between Two Learning Models and Adversarial Robustness ↗Grzegorz Głuch, Rudiger L. Urbanke
- Fast Algorithms for L∞-constrained S-rectangular Robust MDPs ↗Bahram Behzadian, Marek Petrik, Chin Pang Ho
- Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data ↗Dachao Lin, Ruoyu Sun, Zhihua Zhang
- FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization ↗Quoc Tran Dinh, Nhan H. Pham, Dzung T. Phan et al.
- From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits ↗Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
- Generalization Bounds for (Wasserstein) Robust Optimization ↗Yang An, Rui Gao
- How Does it Sound ↗Kun Su, Xiulong Liu, Eli Shlizerman
- Instance-level Recognition for Artworks: The MET Dataset ↗Nikolaos-Antonios Ypsilantis, Noa García, Guangxing Han et al.
- Ising Model Selection Using 1-Regularized Linear Regression: A Statistical Mechanics Analysis ↗Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
- K-Net: Towards Unified Image Segmentation ↗Wenwei Zhang, Jiangmiao Pang, Kai Chen et al.
- Label consistency in overfitted generalized k-means ↗Linfan Zhang, Arash A. Amini
- Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence ↗Xue Yang, Xiaojiang Yang, Jirui Yang et al.
- Learning to Assimilate in Chaotic Dynamical Systems ↗J.F. McCabe, Jed Brown
- Learning with Labeling Induced Abstentions ↗Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh
- Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters ↗Arvind V. Mahankali, David P. Woodruff
- Meta-Learning via Learning with Distributed Memory ↗Sudarshan Babu, Pedro Savarese, Michael Maire
- Model-Based Reinforcement Learning via Imagination with Derived Memory ↗Yao Mu, Yuzheng Zhuang, Bin Wang et al.
- Morié Attack (MA): A New Potential Risk of Screen Photos ↗Dantong Niu, Ruohao Guo, Yisen Wang
- Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction ↗Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux et al.
- Neural Routing by Memory ↗Kaipeng Zhang, Zhenqiang Li, Zhifeng Li et al.
- No-regret Online Learning over Riemannian Manifolds ↗Xi Wang, Zhipeng Tu, Yiguang Hong et al.
- Novel Upper Bounds for the Constrained Most Probable Explanation Task ↗Tahrima Rahman, Sara Rouhani, Vibhav Gogate
- Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration ↗Runzhe Wu, Yufeng Zhang, Zhuoran Yang et al.
- On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons ↗Vishnu Veerathu, Arun Rajkumar
- On learning sparse vectors from mixture of responses ↗Nikita Polyanskii
- On the Value of Interaction and Function Approximation in Imitation Learning ↗Nived Rajaraman, Yanjun Han, Lin Forrest Yang et al.
- One Million Scenes for Autonomous Driving: ONCE Dataset ↗Jiageng Mao, Minzhe Niu, Chenhan Jiang et al.
- Optimality of Zeroth Order Gradient Ascent for Nonlinear Bandit Optimization ↗Baihe Huang, Kaixuan Huang, Sham M. Kakade et al.
- Optimizing Conditional Value-At-Risk of Black-Box Functions ↗Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low et al.
- Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD ↗Bohan Wang, Huishuai Zhang, Jieyu Zhang et al.
- Overcoming the Convex Barrier for Simplex Inputs ↗Harkirat Singh Behl, Manish Kumar, Philip H. S. Torr et al.
- PettingZoo: Gym for Multi-Agent Reinforcement Learning ↗Justin K. Terry, Benjamin Black, Mario Jayakumar et al.
- R-Drop: Regularized Dropout for Neural Networks ↗Xiaobo Liang, Lijun Wu, Juntao Li et al.
- Rate-Optimal Subspace Estimation on Random Graphs ↗Zhixin Zhou, Zhou Fan, Ping Li et al.
- Representing Hyperbolic Space Accurately using Multi-Component Floats ↗Tao Yu, Christopher De
- ResT: An Efficient Transformer for Visual Recognition ↗Qinglong Zhang, Yu-Bin Yang
- Revealing and Protecting Labels in Distributed Training ↗Trung Dang, Om Dipakbhai Thakkar, Swaroop Ramaswamy et al.
- Revenue maximization via machine learning with noisy data ↗Ellen Vitercik, Tom Yan
- Robustness between the worst and average case ↗Leslie Rice, Anna Bair, Huan Zhang et al.
- Safe Reinforcement Learning with Natural Language Constraints ↗Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow et al.
- Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons ↗Wenbo Ren, Jia Liu, Ness B. Shroff
- Self-Instantiated Recurrent Units with Dynamic Soft Recursion ↗Aston Zhang, Yi Wei Daniel Tay, Yikang Shen et al.
- Set Prediction in the Latent Space ↗Konpat Preechakul, Chawan Piansaddhayanon, Burin Naowarat et al.
- SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement ↗Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase et al.
- Statistically and Computationally Efficient Linear Meta-representation Learning ↗Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli et al.
- Stochastic L-convex Function Minimization ↗Haixiang Zhang, Zeyu Zheng, Javad Lavaei
- Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm ↗Akash S. Kumar, Yuxin Chen, Adish Kumar Singla
- The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains ↗Daron Anderson, Douglas J. Leith
- Unifying lower bounds on prediction dimension of convex surrogates ↗Jessie Finocchiaro, Rafael Frongillo, Bo Waggoner
- Unsupervised Learning of Energy Compositions ↗Yilun Du, Shuang Li, Yash Sharma et al.
- When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking ↗Peisong Wen, Qianqian Xu, Zhiyong Yang et al.
- You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection ↗Y.K. Fang, Bencheng Liao, Xinggang Wang et al.
- argmax centroid ↗Chengyue Gong, Mao Ye, Qiang Liu
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