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NeurIPS 2022: all accepted papers

2,834 papers · page 20 of 29 · the most cited first · ← NeurIPS 2022

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  1. QC-StyleGAN - Quality Controllable Image Generation and Manipulation ↗Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh et al.2 citations
  2. RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-Supervised Learning ↗Yingbin Bai, Erkun Yang, Zhaoqing Wang et al.2 citations
  3. Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism ↗Haris Aziz, Alexander Lam, Mashbat Suzuki et al.2 citations
  4. Recommender Forest for Efficient Retrieval ↗Chao Feng, Wuchao Li, Defu Lian et al.2 citations
  5. Regret Bounds for Information-Directed Reinforcement Learning ↗Botao Hao, Tor Lattimore2 citations
  6. Relational Proxies: Emergent Relationships as Fine-Grained Discriminators ↗Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata et al.2 citations
  7. Relational Reasoning Via Set Transformers: Provable Efficiency and Applications to MARL ↗Fengzhuo Zhang, Boyi Liu, Kaixin Wang et al.2 citations
  8. Representing Spatial Trajectories as Distributions ↗Dídac Surís, Carl Vondrick2 citations
  9. Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions ↗Fenglin Liu, Bang Yang, Chenyu You et al.2 citations
  10. Robust Graph Structure Learning Via Multiple Statistical Tests ↗Yaohua Wang, Fangyi Zhang, Ming Lin et al.2 citations
  11. SAGDA: Achieving O(e-2) Communication Complexity in Federated Min-Max Learning ↗Haibo Yang, Zhuqing Liu, Xin Zhang et al.2 citations
  12. SInGE: Sparsity Via Integrated Gradients Estimation of Neuron Relevance ↗Edouard Yvinec, Arnaud Dapogny, Matthieu Cord et al.2 citations
  13. Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent ↗Ruqi Zhang, Qiang Liu, Xin Tong2 citations
  14. Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels ↗Yongri Piao, Chenyang Lu, Miao Zhang et al.2 citations
  15. Shield Decentralization for Safe Multi-Agent Reinforcement Learning ↗Daniel Melcer, Christopher Amato, Stavros Tripakis2 citations
  16. Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions ↗Gagan Aggarwal, Kshipra Bhawalkar, Aranyak Mehta et al.2 citations
  17. Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor ↗Lijun Zhang, Wei Jiang, Jinfeng Yi et al.2 citations
  18. SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning ↗Haobo Wang, Mingxuan Xia, Yixuan Li et al.2 citations
  19. Social-Inverse: Inverse Decision-Making of Social Contagion Management with Task Migrations ↗Guangmo Tong2 citations
  20. Sound and Complete Verification of Polynomial Networks ↗Elias Abad Rocamora, Mehmet Fatih Sahin, Fanghui Liu et al.2 citations
  21. Spartan: Differentiable Sparsity Via Regularized Transportation ↗Kai Sheng Tai, Tai-Peng Tian, Ser Nam Lim2 citations
  22. Spherical Channels for Modeling Atomic Interactions ↗Larry Zitnick, Abhishek Das, Adeesh Kolluru et al.2 citations
  23. Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions ↗Xufeng Cai, Chaobing Song, Cristóbal Guzmán et al.2 citations
  24. StrokeRehab: A Benchmark Dataset for Sub-Second Action Identification ↗Aakash Kaku, Kangning Liu, Avinash Parnandi et al.2 citations
  25. Structural Kernel Search Via Bayesian Optimization and Symbolical Optimal Transport ↗Matthias Bitzer, Mona Meister, Christoph Zimmer2 citations
  26. Structured Recognition for Generative Models with Explaining Away ↗Changmin Yu, Hugo Soulat, Neil Burgess et al.2 citations
  27. Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks ↗Frank Nussbaum, Jakob Gawlikowski, Julia Niebling2 citations
  28. Sublinear Algorithms for Hierarchical Clustering ↗Arpit Agarwal, Sanjeev Khanna, Huan Li et al.2 citations
  29. Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data ↗Yusuke Tanaka, Tomoharu Iwata, Naonori Ueda2 citations
  30. TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets ↗Chengrun Yang, Gabriel Bender, Hanxiao Liu et al.2 citations
  31. TaiSu: A 166M Large-Scale High-Quality Dataset for Chinese Vision-Language Pre-Training ↗Yulong Liu, Guibo Zhu, Bin Zhu et al.2 citations
  32. Template Based Graph Neural Network with Optimal Transport Distances ↗Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli et al.2 citations
  33. The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization ↗Dmitry Kovalev, Alexander Gasnikov2 citations
  34. The Gyro-Structure of Some Matrix Manifolds ↗Xuan Son Nguyen2 citations
  35. The Neural Testbed: Evaluating Joint Predictions ↗Ian Osband, Zheng Wen, Seyed Mohammad Asghari et al.2 citations
  36. The Trade-Offs of Model Size in Large Recommendation Models : 100GB to 10MB Criteo-Tb DLRM Model ↗Aditya Desai, Anshumali Shrivastava2 citations
  37. Theoretically Provable Spiking Neural Networks ↗Shao-Qun Zhang, Zhi-Hua Zhou2 citations
  38. Tight Analysis of Extra-Gradient and Optimistic Gradient Methods for Nonconvex Minimax Problems ↗Pouria Mahdavinia, Yuyang Deng, Haochuan Li et al.2 citations
  39. Tight Mutual Information Estimation with Contrastive Fenchel-Legendre Optimization ↗Qing Guo, Junya Chen, Dong V Wang et al.2 citations
  40. Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve Based Supra-Hodge Convolution Networks for Time-Series Forecasting ↗Yuzhou Chen, Yulia R. Gel, H. Vincent Poor2 citations
  41. Towards Practical Control of Singular Values of Convolutional Layers ↗Alexandra Senderovich, Ekaterina Bulatova, Anton Obukhov et al.2 citations
  42. Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference ↗Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux et al.2 citations
  43. Towards Video Text Visual Question Answering: Benchmark and Baseline ↗Minyi Zhao, Bingjia Li, Jie Wang et al.2 citations
  44. Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding ↗Xinyun Zhu, Yu Qi, Gang Pan et al.2 citations
  45. Training and Inference on Any-Order Autoregressive Models the Right Way ↗Andy Shih, Dorsa Sadigh, Stefano Ermon2 citations
  46. Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions ↗Kiwon Lee, Andrew Cheng, Elliot Paquette et al.2 citations
  47. Transformer-Based Working Memory for Multiagent Reinforcement Learning with Action Parsing ↗Yaodong Yang, Guangyong Chen, Weixun Wang et al.2 citations
  48. ULNeF: Untangled Layered Neural Fields for Mix-And-Match Virtual Try-On ↗Igor Santesteban, Miguel Á. Otaduy, Nils Thuerey et al.2 citations
  49. Understanding Deep Neural Function Approximation in Reinforcement Learning Via e-Greedy Exploration ↗Fanghui Liu, Luca Viano, Volkan Cevher2 citations
  50. Understanding the Evolution of Linear Regions in Deep Reinforcement Learning ↗Setareh Cohan, Nam Hee Kim, David Rolnick et al.2 citations
  51. UniGAN: Reducing Mode Collapse in GANs Using a Uniform Generator ↗Ziqi Pan, Li Niu, Liqing Zhang2 citations
  52. Universally Expressive Communication in Multi-Agent Reinforcement Learning ↗Matthew Morris, Thomas D. Barrett, Arnu Pretorius2 citations
  53. Unsupervised Causal Generative Understanding of Images ↗Titas Anciukevicius, Patrick Fox‐Roberts, Edward Rosten et al.2 citations
  54. Unsupervised Learning Under Latent Label Shift ↗Manley Roberts, Pranav Mani, Saurabh Garg et al.2 citations
  55. Unsupervised Skill Discovery Via Recurrent Skill Training ↗Zheyuan Jiang, Jingyue Gao, Jianyu Chen2 citations
  56. VaiPhy: A Variational Inference Based Algorithm for Phylogeny ↗Hazal Koptagel, Oskar Kviman, Harald Melin et al.2 citations
  57. VoiceBlock: Privacy Through Real-Time Adversarial Attacks with Audio-To-Audio Models ↗Patrick O’Reilly, Andreas Bugler, Keshav Bhandari et al.2 citations
  58. Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited ↗Nils M. Kriege2 citations
  59. What Are the Best Systems? New Perspectives on NLP Benchmarking ↗Pierre Colombo, Nathan Noiry, Ekhiñe Irurozki et al.2 citations
  60. What is a Good Metric to Study Generalization of Minimax Learners? ↗Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang et al.2 citations
  61. coVariance Neural Networks ↗Saurabh Sihag, Gonzalo Mateos, Corey McMillan et al.2 citations
  62. 360-MLC: Multi-View Layout Consistency for Self-Training and Hyper-Parameter Tuning ↗Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu et al.1 citation
  63. A Boosting Approach to Reinforcement Learning ↗Nataly Brukhim, Elad Hazan, Karan Singh1 citation
  64. A Classification of G-Invariant Shallow Neural Networks ↗Devanshu Agrawal, James Ostrowski1 citation
  65. A Closer Look at Offline RL Agents ↗Yuwei Fu, Di Wu, Benoît Boulet1 citation
  66. A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension ↗Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot1 citation
  67. A Consistently Adaptive Trust-Region Method ↗Fadi Hamad, Oliver Hinder1 citation
  68. A Consolidated Cross-Validation Algorithm for Support Vector Machines Via Data Reduction ↗Boxiang Wang, Archer Yi Yang1 citation
  69. A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval ↗Hao Xiang Li, Jingkuan Song, Lianli Gao et al.1 citation
  70. A Direct Approximation of AIXI Using Logical State Abstractions ↗Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng1 citation
  71. A Framework for Bilevel Optimization that Enables Stochastic and Global Variance Reduction Algorithms ↗Mathieu Dagréou, Pierre Ablin, Samuel Vaiter et al.1 citation
  72. A Gradient Estimator Via L1-Randomization for Online Zero-Order Optimization with Two Point Feedback ↗Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil et al.1 citation
  73. A Lagrangian Duality Approach to Active Learning ↗Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro1 citation
  74. A Near-Optimal Best-Of-Both-Worlds Algorithm for Online Learning with Feedback Graphs ↗Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi et al.1 citation
  75. A Non-Asymptotic Analysis of Non-Parametric Temporal-Difference Learning ↗Éloïse Berthier, Ziad Kobeissi, Francis Bach1 citation
  76. A Probabilistic Graph Coupling View of Dimension Reduction ↗Hugues Van Assel, Thibault Espinasse, Julien Chiquet et al.1 citation
  77. A Projection-Free Algorithm for Constrained Stochastic Multi-Level Composition Optimization ↗Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi1 citation
  78. A Quadrature Rule Combining Control Variates and Adaptive Importance Sampling ↗Rémi Leluc, François Portier, Johan Segers et al.1 citation
  79. A Quantitative Geometric Approach to Neural-Network Smoothness ↗Zi Wang, Gautam Prakriya, Somesh Jha1 citation
  80. A Reparametrization-Invariant Sharpness Measure Based on Information Geometry ↗Cheongjae Jang, Sungyoon Lee, Frank C. Park et al.1 citation
  81. A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits ↗Ilija Bogunovic, Zihan Li, Andreas Krause et al.1 citation
  82. A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree ↗Kaixun Hua, Jiayang Ren, Yankai Cao1 citation
  83. A Simple and Optimal Policy Design for Online Learning with Safety Against Heavy-Tailed Risk ↗David Simchi‐Levi, Zeyu Zheng, Feng Zhu1 citation
  84. A Statistical Online Inference Approach in Averaged Stochastic Approximation ↗Chuhan Xie, Zhihua Zhang1 citation
  85. A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization ↗Songtao Lu, Siliang Zeng, Xiaodong Cui et al.1 citation
  86. A Transformer-Based Object Detector with Coarse-Fine Crossing Representations ↗Zhishan Li, Ying Nie, Kai Han et al.1 citation
  87. A Universal Error Measure for Input Predictions Applied to Online Graph Problems ↗Giulia Bernardini, Alexander Lindermayr, Alberto Marchetti-Spaccamela et al.1 citation
  88. A Variational Edge Partition Model for Supervised Graph Representation Learning ↗Yilin He, Chaojie Wang, Hao Zhang et al.1 citation
  89. Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems ↗Jan Harold Alcantara, Ching-pei Lee1 citation
  90. Accelerating Sparse Convolution with Column Vector-Wise Sparsity ↗Yijun Tan, Kai Han, Kang Zhao et al.1 citation
  91. Active Labeling: Streaming Stochastic Gradients ↗Vivien Cabannes, Francis Bach, Vianney Perchet et al.1 citation
  92. Adaptation Accelerating Sampling-Based Bayesian Inference in Attractor Neural Networks ↗Xingsi Dong, Zilong Ji, Tianhao Chu et al.1 citation
  93. Adapting to Online Label Shift with Provable Guarantees ↗Yong Sheng Bai, Yu-Jie Zhang, Peng Zhao et al.1 citation
  94. Adaptive Sampling for Discovery ↗Ziping Xu, Eunjae Shim, Ambuj Tewari et al.1 citation
  95. Adaptive Stochastic Variance Reduction for Non-Convex Finite-Sum Minimization ↗Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos et al.1 citation
  96. Adjoint-Aided Inference of Gaussian Process Driven Differential Equations ↗Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez et al.1 citation
  97. Algorithms and Hardness for Learning Linear Thresholds from Label Proportions ↗Rishi Saket1 citation
  98. All Politics is Local: Redistricting Via Local Fairness ↗Shao-Heng Ko, Erin Taylor, Pankaj Agarwal et al.1 citation
  99. An Algorithm for Learning Switched Linear Dynamics from Data ↗Guillaume Berger, Monal Narasimhamurthy, Kandai Watanabe et al.1 citation
  100. An In-Depth Study of Stochastic Backpropagation ↗Jun Fang, Mingze Xu, Hao Chen et al.1 citation

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