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NeurIPS 2023: all accepted papers

3,540 papers · page 13 of 36 · the most cited first · ← NeurIPS 2023

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  1. Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks ↗Ziyi Huang, Henry Lam, Haofeng Zhang5 citations
  2. Energy Transformer ↗Benjamin Hoover, Yuchen Liang, Bao Pham et al.5 citations
  3. Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning ↗Cristina Menghini, Andrew T. Delworth, Stephen H. Bach5 citations
  4. Enhancing Sharpness-Aware Optimization Through Variance Suppression ↗Bingcong Li, Georgios B. Giannakis5 citations
  5. Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs ↗Zebang Shen, Zhenfu Wang5 citations
  6. Evaluating Self-Supervised Learning for Molecular Graph Embeddings ↗Hanchen Wang, Jean Kaddour, Shengchao Liu et al.5 citations
  7. Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation ↗Berivan Isik, Weining Chen, Ayfer Özgür et al.5 citations
  8. FABind: Fast and Accurate Protein-Ligand Binding ↗Qizhi Pei, Kaiyuan Gao, Lijun Wu et al.5 citations
  9. FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout ↗Irene Wang, Prashant J. Nair, Divya Mahajan5 citations
  10. Facing Off World Model Backbones: RNNs, Transformers, and S4 ↗Fei Deng, Junyeong Park, Sungjin Ahn5 citations
  11. False Discovery Proportion control for aggregated Knockoffs ↗Alexandre Blain, Bertrand Thirion, Olivier Grisel et al.5 citations
  12. Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition ↗Vivek Bharadwaj, Osman Asif Malik, Riley Murray et al.5 citations
  13. Fast and Simple Spectral Clustering in Theory and Practice ↗Peter Macgregor5 citations
  14. Federated Learning with Bilateral Curation for Partially Class-Disjoint Data ↗Ziqing Fan, Ruipeng Zhang, Jiangchao Yao et al.5 citations
  15. First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities ↗Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova et al.5 citations
  16. Frequency Domain-Based Dataset Distillation ↗DongHyeok Shin, DongHyeok Shin, Il‐Chul Moon5 citations
  17. Functional Renyi Differential Privacy for Generative Modeling ↗Dihong Jiang, Sun Sun, Yaoliang Yu5 citations
  18. GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference ↗Ziang Li, Mengda Yang, Yaxin Liu et al.5 citations
  19. GNeSF: Generalizable Neural Semantic Fields ↗Hanlin Chen, Chen Li, Mengqi Guo et al.5 citations
  20. Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data ↗Praveen Venkatesh, Corbett Bennett, Samuel D. Gale et al.5 citations
  21. Gaussian Process Probes (GPP) for Uncertainty-Aware Probing ↗Zi Wang, Alexander Ku, Jason Baldridge et al.5 citations
  22. Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations ↗Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang5 citations
  23. Generating Behaviorally Diverse Policies with Latent Diffusion Models ↗Shashank Hegde, Sumeet Batra, K.R. Zentner et al.5 citations
  24. Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data ↗Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy5 citations
  25. H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation ↗Yanjie Ze, Yuyao Liu, Ruizhe Shi et al.5 citations
  26. HASSOD: Hierarchical Adaptive Self-Supervised Object Detection ↗Shengcao Cao, Dhiraj Joshi, Liangyan Gui et al.5 citations
  27. HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text ↗Han Liu, Zhi Xu, Xiaotong Zhang et al.5 citations
  28. Have it your way: Individualized Privacy Assignment for DP-SGD ↗Franziska Boenisch, Christopher Mühl, Adam Dziedzic et al.5 citations
  29. How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget ↗Guy Hacohen, Daphna Weinshall5 citations
  30. Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach ↗Nurendra Choudhary, Nikhil Rao, Chandan Reddy5 citations
  31. InsActor: Instruction-driven Physics-based Characters ↗Jiawei Ren, Mingyuan Zhang, Cunjun Yu et al.5 citations
  32. Joint Prompt Optimization of Stacked LLMs using Variational Inference ↗Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté et al.5 citations
  33. Joint Training of Deep Ensembles Fails Due to Learner Collusion ↗Alan Jeffares, Tennison Liu, Jonathan Crabbé et al.5 citations
  34. LICO: Explainable Models with Language-Image COnsistency ↗Yiming Lei, Zilong Li, Zilong Li et al.5 citations
  35. Label-Only Model Inversion Attacks via Knowledge Transfer ↗Bao Ngoc Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh et al.5 citations
  36. Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs ↗Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang et al.5 citations
  37. Learning DAGs from Data with Few Root Causes ↗Panagiotis Misiakos, Chris Wendler, Markus Püschel5 citations
  38. Learning Mixtures of Gaussians Using the DDPM Objective ↗Kulin Shah, Sitan Chen, Adam Klivans5 citations
  39. Learning to Configure Separators in Branch-and-Cut ↗Sirui Li, Wenbin Ouyang, Max B. Paulus et al.5 citations
  40. Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval ↗Shijie Wang, Jianlong Chang, Haojie Li et al.5 citations
  41. Learning to Reason and Memorize with Self-Notes ↗Jack Lanchantin, Shubham Toshniwal, Jason Weston et al.5 citations
  42. LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion ↗Jiaqi Guan, Xingang Peng, Peiqi Jiang et al.5 citations
  43. MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation ↗Tangyu Jiang, Haodi Wang, Rongfang Bie5 citations
  44. MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning ↗Zeyuan Ma, Hongshu Guo, Jiacheng Chen et al.5 citations
  45. Mirror Diffusion Models for Constrained and Watermarked Generation ↗Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou et al.5 citations
  46. Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser ↗Yung-Hsuan Lai, Yen-Chun Chen, Frank Wang5 citations
  47. Multi-scale Diffusion Denoised Smoothing ↗Jongheon Jeong, Jinwoo Shin5 citations
  48. MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks ↗Vinitra Swamy, Malika Satayeva, Jibril Frej et al.5 citations
  49. NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks ↗Seokil Ham, Jungwuk Park, Dong-Jun Han et al.5 citations
  50. NPCL: Neural Processes for Uncertainty-Aware Continual Learning ↗Saurav Jha, Dong Gong, He Zhao et al.5 citations
  51. Neural (Tangent Kernel) Collapse ↗Mariia Seleznova, Dana Weitzner, Raja Giryes et al.5 citations
  52. Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations ↗Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez et al.5 citations
  53. NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function ↗Qing Li, Huifang Feng, KanLe SHI et al.5 citations
  54. Neuro-symbolic Learning Yielding Logical Constraints ↗Zenan Li, Yunpeng Huang, Zenan Li et al.5 citations
  55. Non-Rigid Shape Registration via Deep Functional Maps Prior ↗Puhua Jiang, Mingze Sun, Ruqi Huang5 citations
  56. Norm-guided latent space exploration for text-to-image generation ↗Dvir Samuel, Rami Ben‐Ari, Nir Darshan et al.5 citations
  57. Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities ↗Andrii Zadaianchuk, Maximilian Seitzer, Georg Martius5 citations
  58. Offline Reinforcement Learning with Differential Privacy ↗Dan Qiao, Yu-Xiang Wang5 citations
  59. On the Connection between Pre-training Data Diversity and Fine-tuning Robustness ↗Vivek Ramanujan, Thao Nguyen, Sewoong Oh et al.5 citations
  60. On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration ↗Shuai Zhang, Hongkang Li, Meng Wang et al.5 citations
  61. On the Generalization Properties of Diffusion Models ↗Puheng Li, Zhong Li, Huishuai Zhang et al.5 citations
  62. On the impact of activation and normalization in obtaining isometric embeddings at initialization ↗Amir Joudaki, Hadi Daneshmand, Francis Bach5 citations
  63. One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning ↗Zichang Liu, Zhaozhuo Xu, Benjamin Coleman et al.5 citations
  64. Online learning of long-range dependencies ↗Nicolas Zucchet, Robert Meier, Simon Schug et al.5 citations
  65. Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation ↗Yilin Lyu, Liyuan Wang, Xingxing Zhang et al.5 citations
  66. PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model ↗Yizhe Zhang, Jiatao Gu, Zhuofeng Wu et al.5 citations
  67. PROTES: Probabilistic Optimization with Tensor Sampling ↗Anastasiia Batsheva, Andrei Chertkov, Gleb Ryzhakov et al.5 citations
  68. Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models ↗Qiong Wu, Wei Yu, Yiyi Zhou et al.5 citations
  69. Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference ↗Ran Ran, Nuo Xu, Tao Liu et al.5 citations
  70. Practical Differentially Private Hyperparameter Tuning with Subsampling ↗Antti Koskela, Tejas Kulkarni5 citations
  71. Predict-then-Calibrate: A New Perspective of Robust Contextual LP ↗Chunlin Sun, Linyu Liu, Xiaocheng Li5 citations
  72. ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab ↗Jieming Cui, Ziren Gong, Baoxiong Jia et al.5 citations
  73. ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion ↗Yingjun Du, Zehao Xiao, Shengcai Liao et al.5 citations
  74. Proximity-Informed Calibration for Deep Neural Networks ↗Miao Xiong, Ailin Deng, Pang Wei Koh et al.5 citations
  75. QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution ↗Haotong Qin, Yulun Zhang, Yifu Ding et al.5 citations
  76. RDumb: A simple approach that questions our progress in continual test-time adaptation ↗Ori Press, Steffen Schneider, Matthias Kümmerer et al.5 citations
  77. REx: Data-Free Residual Quantization Error Expansion ↗Edouard Yvinec, Arnaud Dapogny, Matthieu Cord et al.5 citations
  78. Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations ↗Hannaneh Akrami, Kurt Mehlhorn, Masoud Seddighin et al.5 citations
  79. Real-World Image Super-Resolution as Multi-Task Learning ↗Wenlong Zhang, Xiaohui Li, Guangyuan Shi et al.5 citations
  80. Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark ↗Lasse Hansen, Nabeel Seedat, Mihaela Van Der Schaar et al.5 citations
  81. Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach ↗Haoxuan Li, Kunhan Wu, Chunyuan Zheng et al.5 citations
  82. Resetting the Optimizer in Deep RL: An Empirical Study ↗Kavosh Asadi, Rasool Fakoor, Shoham Sabach5 citations
  83. Residual Q-Learning: Offline and Online Policy Customization without Value ↗Chenran Li, Chen Tang, Haruki Nishimura et al.5 citations
  84. Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification ↗Tianjun Ke, Haoqun Cao, Zenan Ling et al.5 citations
  85. Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery ↗Katie Z Luo, Zhenzhen Liu, Xiangyu Chen et al.5 citations
  86. RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization ↗Siqi Shen, Chao Li, Chao Li et al.5 citations
  87. RoboHive: A Unified Framework for Robot Learning ↗Vikash Kumar, Rutav Shah, Gaoyue Zhou et al.5 citations
  88. Robust Learning with Progressive Data Expansion Against Spurious Correlation ↗Yihe Deng, Yu Yang, Baharan Mirzasoleiman et al.5 citations
  89. SE(3) Equivariant Augmented Coupling Flows ↗Laurence I. Midgley, Vincent Stimper, Javier Antorán et al.5 citations
  90. SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models ↗Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran et al.5 citations
  91. SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding ↗Paul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys et al.5 citations
  92. SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning ↗Hsi-Wen Chen, Hsi-Wen Chen, Wang Shun-gui et al.5 citations
  93. Scalarization for Multi-Task and Multi-Domain Learning at Scale ↗Amélie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi5 citations
  94. Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning ↗Yihua Zhang, Yimeng Zhang, Aochuan Chen et al.5 citations
  95. Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback ↗Minyoung Hwang, Gunmin Lee, Hogun Kee et al.5 citations
  96. Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities ↗Aleksandr Beznosikov, Martin Takáč, Alexander Gasnikov5 citations
  97. Skill-it! A data-driven skills framework for understanding and training language models ↗Mayee F. Chen, Nicholas Roberts, Kush Bhatia et al.5 citations
  98. SoundCam: A Dataset for Finding Humans Using Room Acoustics ↗Mason Long Wang, Samuel Clarke, Jui-Hsien Wang et al.5 citations
  99. Sparse Deep Learning for Time Series Data: Theory and Applications ↗Mingxuan Zhang, Yan Sun, Faming Liang5 citations
  100. Stability of Random Forests and Coverage of Random-Forest Prediction Intervals ↗Yan Wang, Huaiqing Wu, Dan S. Nettleton5 citations

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