---
title: "NeurIPS 2021 — all accepted papers, page 5 — the most cited first"
description: "All 481 papers of NeurIPS 2021 · page 5 of 5, the most cited first; those with our summary link to it."
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# NeurIPS 2021: all accepted papers

481 papers · page 5 of 5 · the most cited first · [← NeurIPS 2021](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/papers/page/4/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/papers/) … [4](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2021/papers/page/4/) **5**

401. **[A nonparametric method for gradual change problems with statistical guarantees ↗](https://openreview.net/forum?id=bo75bBsQzeZ)**Lizhen Nie, Dan L. Nicolae
402. **[All Tokens Matter: Token Labeling for Training Better Vision Transformers ↗](http://proceedings.neurips.cc/paper/2021/file/9a49a25d845a483fae4be7e341368e36-Paper.pdf)**Zihang Jiang, Qibin Hou, Li Yuan et al.
403. **[Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression ↗](http://arxiv-export-lb.library.cornell.edu/abs/2110.13675)**Jiabo He, Sarah Erfani, Xingjun Ma et al.
404. **[An online passive-aggressive algorithm for difference-of-squares classification ↗](https://papers.nips.cc/paper/2021/hash/b2ea5e977c5fc1ccfa74171a9723dd61-Abstract.html)**Lawrence K. Saul
405. **[Answering Complex Causal Queries With the Maximum Causal Set Effect ↗](https://openreview.net/forum?id=9B0JMeySlZM)**Zachary D. Markovich
406. **[Approximate optimization of convex functions with outlier noise ↗](https://papers.nips.cc/paper/2021/hash/44b422a6d1df1d47db5d50a8d0aaca5d-Abstract.html)**Anindya De, Sanjeev Khanna, Huan Li et al.
407. **[Asymptotically Best Causal Effect Identification with Multi-Armed Bandits ↗](https://openreview.net/forum?id=zqo2sqixxbE)**Alan Malek, Silvia Chiappa
408. **[Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models ↗](https://proceedings.neurips.cc/paper/2021/hash/f0282b5ff85e7c9c66200d780bd7e72e-Abstract.html)**Kohei Miyaguchi
409. **[Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection ↗](https://openreview.net/forum?id=oaIa8kTLjmP)**Morgane Austern, Vasilis Syrgkanis
410. **[BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market ↗](https://openreview.net/forum?id=yUNQBMsLGA)**Yang Zhang, Bo Tang, Qingyu Yang et al.
411. **[Best Arm Identification in Contaminated Stochastic Bandits ↗](https://papers.nips.cc/paper/2021/hash/500ee9106e0e4d8f769fadfdf9f2837e-Abstract.html)**Arpan Mukherjee, Ali Tajer, Pin‐Yu Chen et al.
412. **[Better Algorithms for Individually Fair k-Clustering ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-12150)**Maryam Negahbani, Deeparnab Chakrabarty
413. **[BooVI: Provably Efficient Bootstrapped Value Iteration ↗](https://papers.nips.cc/paper/2021/hash/39144da5a6180c47885443c83547ec14-Abstract.html)**Boyi Liu, Qi Cai, Zhuoran Yang et al.
414. **[Coresets for Classification – Simplified and Strengthened ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-04254)**Tung Mai, Cameron Musco, Anup B. Rao
415. **[Deep Extrapolation for Attribute-Enhanced Generation ↗](https://dblp.uni-trier.de/db/journals/corr/corr2107.html#abs-2107-02968)**Alvin Chan Guo Wei, Ali Madani, Ben Krause et al.
416. **[Dense Keypoints via Multiview Supervision ↗](https://papers.nips.cc/paper/2021/hash/914101ec47c52b48a7b6ccc6f5a76f1f-Abstract.html)**Zhixuan Yu, Haozheng Yu, Long Sha et al.
417. **[Differentiable Unsupervised Feature Selection based on a Gated Laplacian ↗](https://papers.nips.cc/paper/2021/hash/0bc10d8a74dbafbf242e30433e83aa56-Abstract.html)**Ofir Lindenbaum, Uri Shaham, Erez Peterfreund et al.
418. **[Diffusion Models Beat GANs on Image Synthesis ↗](https://dblp.uni-trier.de/db/journals/corr/corr2105.html#abs-2105-05233)**Prafulla Dhariwal, Alex Nichol
419. **[Directed Probabilistic Watershed ↗](http://proceedings.neurips.cc/paper/2021/file/a73d9b34d6f7c322fa3e34c633b1297d-Paper.pdf)**Enrique Fita Sanmartín, Sebastian Damrich, Fred A. Hamprecht
420. **[Dynamic Normalization and Relay for Video Action Recognition ↗](https://papers.nips.cc/paper/2021/hash/5bd529d5b07b647a8863cf71e98d651a-Abstract.html)**Dongqi Cai, Anbang Yao, Yurong Chen
421. **[Efficiently Learning One Hidden Layer ReLU Networks From Queries ↗](https://papers.nips.cc/paper/2021/hash/ca4b5656b7e193e6bb9064c672ac8dce-Abstract.html)**Sitan Chen, Adam R. Klivans, Raghu Meka
422. **[Entropic Desired Dynamics for Intrinsic Control ↗](https://openreview.net/forum?id=lBSSxTgXmiK)**Steven Hansen, Guillaume Desjardins, Kate Baumli et al.
423. **[Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium ↗](https://papers.nips.cc/paper/2021/hash/4a3050ae2c77da4f9c90e2e58e8e520f-Abstract.html)**Gabriele Farina, Tüomas Sandholm
424. **[Explicit loss asymptotics in the gradient descent training of neural networks ↗](https://papers.nips.cc/paper/2021/hash/14faf969228fc18fcd4fcf59437b0c97-Abstract.html)**Maksim Velikanov, Dmitry Yarotsky
425. **[Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation ↗](https://dblp.uni-trier.de/db/journals/corr/corr2110.html#abs-2110-04202)**Shiqi Yang, Yaxing Wang, Joost van de Weijer et al.
426. **[Exploring the Limits of Out-of-Distribution Detection ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-03004)**Stanislav Fort, Jie Ren, Balaji Lakshminarayanan
427. **[Exponential Separation between Two Learning Models and Adversarial Robustness ↗](http://proceedings.neurips.cc/paper/2021/file/ae06fbdc519bddaa88aa1b24bace4500-Paper.pdf)**Grzegorz Głuch, Rudiger L. Urbanke
428. **[Fast Algorithms for L∞-constrained S-rectangular Robust MDPs ↗](https://openreview.net/forum?id=IdqbmJx-urQ)**Bahram Behzadian, Marek Petrik, Chin Pang Ho
429. **[Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data ↗](https://papers.nips.cc/paper/2021/hash/24ec8468b67314c2013d215b77034476-Abstract.html)**Dachao Lin, Ruoyu Sun, Zhihua Zhang
430. **[FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization ↗](https://openreview.net/forum?id=SkDYNXUM4xZ)**Quoc Tran Dinh, Nhan H. Pham, Dzung T. Phan et al.
431. **[From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits ↗](https://papers.nips.cc/paper/2021/hash/75429d136f65d2d6168b9b6c5f6ec951-Abstract.html)**Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
432. **[Generalization Bounds for (Wasserstein) Robust Optimization ↗](https://papers.nips.cc/paper/2021/hash/55fd1368113e5a675e868c5653a7bb9e-Abstract.html)**Yang An, Rui Gao
433. **[Global Convergence of Online Optimization for Nonlinear Model Predictive Control ↗](https://papers.nips.cc/paper/2021/hash/67d16d00201083a2b118dd5128dd6f59-Abstract.html)**Sen Na
434. **[How Does it Sound ↗](https://openreview.net/forum?id=JuNatTaGZ6J)**Kun Su, Xiulong Liu, Eli Shlizerman
435. **[Instance-level Recognition for Artworks: The MET Dataset ↗](https://openreview.net/pdf?id=fnuAjFL7MXy)**Nikolaos-Antonios Ypsilantis, Noa García, Guangxing Han et al.
436. **[Ising Model Selection Using 1-Regularized Linear Regression: A Statistical Mechanics Analysis ↗](https://papers.nips.cc/paper/2021/hash/31917677a66c6eddd3ab1f68b0679e2f-Abstract.html)**Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
437. **[K-Net: Towards Unified Image Segmentation ↗](http://proceedings.neurips.cc/paper/2021/file/55a7cf9c71f1c9c495413f934dd1a158-Paper.pdf)**Wenwei Zhang, Jiangmiao Pang, Kai Chen et al.
438. **[Label consistency in overfitted generalized k-means ↗](https://papers.nips.cc/paper/2021/hash/427e3427c5f38a41bb9cb26525b22fba-Abstract.html)**Linfan Zhang, Arash A. Amini
439. **[Learnability of Linear Thresholds from Label Proportions ↗](https://papers.nips.cc/paper/2021/hash/33b3214d792caf311e1f00fd22b392c5-Abstract.html)**Rishi Saket
440. **[Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-01883)**Xue Yang, Xiaojiang Yang, Jirui Yang et al.
441. **[Learning to Assimilate in Chaotic Dynamical Systems ↗](https://dblp.uni-trier.de/db/journals/corr/corr2111.html#abs-2111-01058)**J.F. McCabe, Jed Brown
442. **[Learning with Labeling Induced Abstentions ↗](https://papers.nips.cc/paper/2021/hash/689041c2baed0f6d91050495d632d6e0-Abstract.html)**Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh
443. **[Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters ↗](https://proceedings.neurips.cc/paper/2021/hash/78ccad7da4c2fc2646d1848e965794c5-Abstract.html)**Arvind V. Mahankali, David P. Woodruff
444. **[Meta-Learning via Learning with Distributed Memory ↗](https://papers.nips.cc/paper/2021/hash/7c9e9afa5a9dc68ccaf27d9effeb9383-Abstract.html)**Sudarshan Babu, Pedro Savarese, Michael Maire
445. **[Model-Based Reinforcement Learning via Imagination with Derived Memory ↗](https://papers.nips.cc/paper/2021/hash/4ebccfb3e317c7789f04f7a558df4537-Abstract.html)**Yao Mu, Yuzheng Zhuang, Bin Wang et al.
446. **[Morié Attack (MA): A New Potential Risk of Screen Photos ↗](http://proceedings.neurips.cc/paper/2021/file/db9eeb7e678863649bce209842e0d164-Paper.pdf)**Dantong Niu, Ruohao Guo, Yisen Wang
447. **[Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-06935)**Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux et al.
448. **[Neural Routing by Memory ↗](https://openreview.net/forum?id=gbEreV4H2Jv)**Kaipeng Zhang, Zhenqiang Li, Zhifeng Li et al.
449. **[No-regret Online Learning over Riemannian Manifolds ↗](https://papers.nips.cc/paper/2021/hash/ee389847678a3a9d1ce9e4ca69200d06-Abstract.html)**Xi Wang, Zhipeng Tu, Yiguang Hong et al.
450. **[Novel Upper Bounds for the Constrained Most Probable Explanation Task ↗](https://papers.nips.cc/paper/2021/hash/4fc7e9c4df30aafd8b7e1ab324f27712-Abstract.html)**Tahrima Rahman, Sara Rouhani, Vibhav Gogate
451. **[Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration ↗](https://papers.nips.cc/paper/2021/hash/d5c8e1ab6fc0bfeb5f29aafa999cdb29-Abstract.html)**Runzhe Wu, Yufeng Zhang, Zhuoran Yang et al.
452. **[On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons ↗](https://papers.nips.cc/paper/2021/hash/64dafb11e52edd3cd840bf24e56ddce6-Abstract.html)**Vishnu Veerathu, Arun Rajkumar
453. **[On learning sparse vectors from mixture of responses ↗](https://openreview.net/forum?id=XOAjcE5GerI)**Nikita Polyanskii
454. **[On the Value of Interaction and Function Approximation in Imitation Learning ↗](https://papers.nips.cc/paper/2021/hash/09dbc1177211571ef3e1ca961cc39363-Abstract.html)**Nived Rajaraman, Yanjun Han, Lin Forrest Yang et al.
455. **[One Million Scenes for Autonomous Driving: ONCE Dataset ↗](https://openreview.net/pdf?id=KBbxt3JGn0Y)**Jiageng Mao, Minzhe Niu, Chenhan Jiang et al.
456. **[Optimality of Zeroth Order Gradient Ascent for Nonlinear Bandit Optimization ↗](https://proceedings.neurips.cc/paper/2021/hash/f3d9de86462c28781cbe5c47ef22c3e5-Abstract.html)**Baihe Huang, Kaixuan Huang, Sham M. Kakade et al.
457. **[Optimizing Conditional Value-At-Risk of Black-Box Functions ↗](https://papers.nips.cc/paper/2021/hash/219ece62fae865562d4510ea501cf349-Abstract.html)**Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low et al.
458. **[Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD ↗](https://papers.nips.cc/paper/2021/hash/db2b4182156b2f1f817860ac9f409ad7-Abstract.html)**Bohan Wang, Huishuai Zhang, Jieyu Zhang et al.
459. **[Overcoming the Convex Barrier for Simplex Inputs ↗](https://openreview.net/forum?id=JXREUkyHi7u)**Harkirat Singh Behl, Manish Kumar, Philip H. S. Torr et al.
460. **[PettingZoo: Gym for Multi-Agent Reinforcement Learning ↗](https://openreview.net/pdf?id=WoLQsYU8aZ)**Justin K. Terry, Benjamin Black, Mario Jayakumar et al.
461. **[R-Drop: Regularized Dropout for Neural Networks ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-14448)**Xiaobo Liang, Lijun Wu, Juntao Li et al.
462. **[Rate-Optimal Subspace Estimation on Random Graphs ↗](https://papers.nips.cc/paper/2021/hash/a97f6e2fedcabc887911dc9b5fd3ccc3-Abstract.html)**Zhixin Zhou, Zhou Fan, Ping Li et al.
463. **[Representing Hyperbolic Space Accurately using Multi-Component Floats ↗](https://proceedings.nips.cc/paper/2021/hash/832353270aacb6e3322f493a66aaf5b9-Abstract.html)**Tao Yu, Christopher De
464. **[ResT: An Efficient Transformer for Visual Recognition ↗](http://proceedings.neurips.cc/paper/2021/hash/82c2559140b95ccda9c6ca4a8b981f1e-Abstract.html)**Qinglong Zhang, Yu-Bin Yang
465. **[Revealing and Protecting Labels in Distributed Training ↗](https://dblp.uni-trier.de/db/journals/corr/corr2111.html#abs-2111-00556)**Trung Dang, Om Dipakbhai Thakkar, Swaroop Ramaswamy et al.
466. **[Revenue maximization via machine learning with noisy data ↗](https://papers.nips.cc/paper/2021/hash/56d33021e640f5d64a611a71b5dc30a3-Abstract.html)**Ellen Vitercik, Tom Yan
467. **[Robustness between the worst and average case ↗](https://proceedings.neurips.cc/paper/2021/file/ea4c796cccfc3899b5f9ae2874237c20-Paper.pdf)**Leslie Rice, Anna Bair, Huan Zhang et al.
468. **[Safe Reinforcement Learning with Natural Language Constraints ↗](https://openreview.net/pdf?id=Ua5yGJhfgAg)**Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow et al.
469. **[Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons ↗](http://proceedings.neurips.cc/paper/2021/file/22508552d3fc22f867e33e6c56b30b16-Paper.pdf)**Wenbo Ren, Jia Liu, Ness B. Shroff
470. **[Self-Instantiated Recurrent Units with Dynamic Soft Recursion ↗](https://papers.nips.cc/paper/2021/hash/3341f6f048384ec73a7ba2e77d2db48b-Abstract.html)**Aston Zhang, Yi Wei Daniel Tay, Yikang Shen et al.
471. **[Set Prediction in the Latent Space ↗](http://proceedings.neurips.cc/paper/2021/file/d61e9e58ae1058322bc169943b39f1d8-Paper.pdf)**Konpat Preechakul, Chawan Piansaddhayanon, Burin Naowarat et al.
472. **[SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement ↗](https://papers.nips.cc/paper/2021/hash/abea47ba24142ed16b7d8fbf2c740e0d-Abstract.html)**Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase et al.
473. **[Statistically and Computationally Efficient Linear Meta-representation Learning ↗](https://openreview.net/pdf?id=48LtSAkxjiX)**Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli et al.
474. **[Stochastic L-convex Function Minimization ↗](https://papers.nips.cc/paper/2021/hash/6c81c83c4bd0b58850495f603ab45a93-Abstract.html)**Haixiang Zhang, Zeyu Zheng, Javad Lavaei
475. **[Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm ↗](https://papers.nips.cc/paper/2021/hash/e22dd5dabde45eda5a1a67772c8e25dd-Abstract.html)**Akash S. Kumar, Yuxin Chen, Adish Kumar Singla
476. **[The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains ↗](https://papers.nips.cc/paper/2021/hash/2e907f44e0a9616314cf3d964d4e3c93-Abstract.html)**Daron Anderson, Douglas J. Leith
477. **[Unifying lower bounds on prediction dimension of convex surrogates ↗](https://papers.nips.cc/paper/2021/hash/b91a76b0b2fa7ce160212f53f3d2edba-Abstract.html)**Jessie Finocchiaro, Rafael Frongillo, Bo Waggoner
478. **[Unsupervised Learning of Energy Compositions ↗](https://papers.nips.cc/paper/2021/hash/838aac83e00e8c5ca0f839c96d6cb3be-Abstract.html)**Yilun Du, Shuang Li, Yash Sharma et al.
479. **[When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking ↗](http://proceedings.neurips.cc/paper/2021/hash/28267ab848bcf807b2ed53c3a8f8fc8a-Abstract.html)**Peisong Wen, Qianqian Xu, Zhiyong Yang et al.
480. **[You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection ↗](https://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-00666)**Y.K. Fang, Bencheng Liao, Xinggang Wang et al.
481. **[argmax centroid ↗](https://papers.nips.cc/paper/2021/hash/38eb982ee635354d3febf457beeee736-Abstract.html)**Chengyue Gong, Mao Ye, Qiang Liu

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