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NeurIPS 2023: all accepted papers

3,540 papers · page 33 of 36 · the most cited first · ← NeurIPS 2023

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  1. List and Certificate Complexities in Replicable Learning ↗Peter Dixon, A. Pavan, Jason Vander Woude et al.
  2. LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering ↗Jingying Gao, Qi Wu, Alan Blair et al.
  3. Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search ↗Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti et al.
  4. LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees ↗Shangyuan Liu, Linglingzhi Zhu, Anthony Man–Cho So
  5. Lovász Principle for Unsupervised Graph Representation Learning ↗Ziheng Sun, Chris Ding, Jicong Fan
  6. Lower Bounds on Adaptive Sensing for Matrix Recovery ↗Praneeth Kacham, David P. Woodruff
  7. MGDD: A Meta Generator for Fast Dataset Distillation ↗Songhua Liu, X. Sean Wang
  8. MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates ↗Mohammad Mozaffari, Sikan Li, Zhao Zhang et al.
  9. Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off ↗Zichen (Vincent) Zhang, Johannes Kirschner, Junxi Zhang et al.
  10. Many-body Approximation for Non-negative Tensors ↗Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara
  11. MathNAS: If Blocks Have a Role in Mathematical Architecture Design ↗Qinsi Wang, Jinghan Ke, Zhi Liang et al.
  12. Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration ↗Zhihan Liu, Miao Lu, Wei Xiong et al.
  13. Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits ↗Masoud Moravej Khorasani, Erik Weyer
  14. MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery ↗Sanja Šćepanović, Ivica Obadić, Sagar Prakash Joglekar et al.
  15. Meek Separators and Their Applications in Targeted Causal Discovery ↗Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
  16. Memory-Constrained Algorithms for Convex Optimization ↗Moïse Blanchard, Junhui Zhang, Patrick Jaillet
  17. Meta-Learning with Neural Bandit Scheduler ↗Yunzhe Qi, Yikun Ban, Tianxin Wei et al.
  18. Metis: Understanding and Enhancing In-Network Regular Expressions ↗Zhengxin Zhang, Yucheng Huang, Guanglin Duan et al.
  19. Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees ↗Veronica Alvarez, Santiago Mazuelas, Jose A. Lozano
  20. Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models ↗Dat Do, Huy Nguyen, Huy Nguyen et al.
  21. Minimax-Optimal Location Estimation ↗Shivam Gupta, Jasper Lee, Eric Price et al.
  22. Mitigating Source Bias for Fairer Weak Supervision ↗Changho Shin, Sonia Cromp, Dyah Adila et al.
  23. Mitigating the Effect of Incidental Correlations on Part-based Learning ↗Gaurav Bhatt, Deepayan Das, Leonid Sigal et al.
  24. Mnemosyne: Learning to Train Transformers with Transformers ↗Deepali Jain, Krzysztof Choromański, Kumar Avinava Dubey et al.
  25. Model Shapley: Equitable Model Valuation with Black-box Access ↗Xinyi Xu, Thanh Lam, Chuan-Sheng Foo et al.
  26. Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning ↗Van Cuong Pham, Cường Nguyễn, Trung Hiếu Lê et al.
  27. Model-Based Control with Sparse Neural Dynamics ↗Ziang Liu, Genggeng Zhou, Jeff He et al.
  28. Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms ↗Shenao Zhang, Boyi Liu, Zhaoran Wang et al.
  29. Model-free Posterior Sampling via Learning Rate Randomization ↗Daniil Tiapkin, Denis Vital'evich Belomestny, Daniele Calandriello et al.
  30. Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing ↗Jung Yeon Park, Lawson L. S. Wong, Robin Walters
  31. Moment Matching Denoising Gibbs Sampling ↗Mingtian Zhang, Alex Hawkins‐Hooker, Brooks Paige et al.
  32. Most Neural Networks Are Almost Learnable ↗Amit Daniely, Nathan Srebro, Gal Vardi
  33. Multi Time Scale World Models ↗Vaisakh Shaj Kumar, Saleh Gholam Zadeh, Ozan Demir et al.
  34. Multi-Agent First Order Constrained Optimization in Policy Space ↗Youpeng Zhao, Yaodong Yang, Zhenbo Lu et al.
  35. Multi-Agent Learning with Heterogeneous Linear Contextual Bandits ↗Anh Do, Thanh Nguyen-Tang, Raman Arora
  36. Multi-Fidelity Multi-Armed Bandits Revisited ↗Xuchuang Wang, Qingyun Wu, Wei Chen et al.
  37. Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization ↗Alex Foo, Wynne Hsu, Mong Li Lee
  38. Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation ↗Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He et al.
  39. Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion ↗Hyuna Cho, Minjae Jeong, Sooyeon Jeon et al.
  40. Multi-task Representation Learning for Pure Exploration in Bilinear Bandits ↗Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna et al.
  41. Multi-task learning with summary statistics ↗P. Knight, Rui Duan
  42. MultiVENT: Multilingual Videos of Events and Aligned Natural Text ↗Kate Sanders, David Etter, Reno Kriz et al.
  43. Multiclass Boosting: Simple and Intuitive Weak Learning Criteria ↗Nataly Brukhim, Amit Daniely, Yishay Mansour et al.
  44. Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice ↗Aiwen Xu, Yuchen Hou, Cristopher M. Niell et al.
  45. Mutual-Information Regularized Multi-Agent Policy Iteration ↗Wang Wang, Deheng Ye, Zongqing Lu
  46. NAS-X: Neural Adaptive Smoothing via Twisting ↗Dieterich Lawson, Michael Li, Scott W. Linderman
  47. NCDL: A Framework for Deep Learning on non-Cartesian Lattices ↗Joshua Horacsek, Usman Alim
  48. Nash Regret Guarantees for Linear Bandits ↗Ayush Sawarni, Soumyabrata Pal, Siddharth Barman
  49. Natural Language Instruction-following with Task-related Language Development and Translation ↗Jing-Cheng Pang, Xin-Yu Yang, Sihang Yang et al.
  50. Near Optimal Reconstruction of Spherical Harmonic Expansions ↗Amir Zandieh, Insu Han, Haim Avron
  51. Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise ↗Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane et al.
  52. Nearest Neighbour with Bandit Feedback ↗Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
  53. Nearly Optimal Bounds for Cyclic Forgetting ↗William Swartworth, Deanna Needell, Rachel Ward et al.
  54. Nearly Tight Bounds For Differentially Private Multiway Cut ↗Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka
  55. Neural Graph Generation from Graph Statistics ↗Kiarash Zahirnia, Yaochen Hu, Mark Coates et al.
  56. Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning ↗Marina Munkhoeva, Ivan Oseledets
  57. Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem ↗Tal Amir, Steven Gortler, Ilai Avni et al.
  58. Neural Processes with Stability ↗Huafeng Liu, Liping Jing, Jian Yu
  59. Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis ↗Shreyas Malakarjun Patil, Loizos Michael, Constantine Dovrolis
  60. Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions ↗Samantha Chen, Yusu Wang
  61. New Bounds for Hyperparameter Tuning of Regression Problems Across Instances ↗Maria-Florina Balcan, Anh Vu Nguyen, Dravyansh Sharma
  62. New Complexity-Theoretic Frontiers of Tractability for Neural Network Training ↗Cornelius Brand, Robert Ganian, Mathis Rocton
  63. Noether Embedding: Efficient Learning of Temporal Regularities ↗Chi Gao, Zidong Zhou, Luping Shi
  64. Non-Convex Bilevel Optimization with Time-Varying Objective Functions ↗Sen Lin, Daouda Sow, Kaiyi Ji et al.
  65. Nonparametric Teaching for Multiple Learners ↗Chen Zhang, Xiaofeng Cao, Weiyang Liu et al.
  66. NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding ↗Ming Hu, Lin Wang, Siyuan Yan et al.
  67. OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment ↗Yiheng Zhu, Yang Zhan, Xuankun Huang et al.
  68. Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations ↗Xingyu Chen, Weiyao Wang, Hao Tang et al.
  69. Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage ↗Masatoshi Uehara, Nathan Kallus, Jason D. Lee et al.
  70. Offline RL with Discrete Proxy Representations for Generalizability in POMDPs ↗Pengjie Gu, Xinyu Cai, Dong Xing et al.
  71. On Certified Generalization in Structured Prediction ↗Bastian Boll, Christoph Schnörr
  72. On Computing Pairwise Statistics with Local Differential Privacy ↗Badih Ghazi, Pritish Kamath, Ravi Ranjan Kumar et al.
  73. On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy ↗Caleb Dahlke, Jason Pacheco
  74. On Differentially Private Sampling from Gaussian and Product Distributions ↗Badih Ghazi, Xiao Hu, Ravi Ranjan Kumar et al.
  75. On Generalization Bounds for Projective Clustering ↗Maria Sofia Bucarelli, Matilde Larsen, Chris Schwiegelshohn et al.
  76. On Private and Robust Bandits ↗Yulian Wu, Xingyu Zhou, Youming Tao et al.
  77. On Proper Learnability between Average- and Worst-case Robustness ↗Vinod Raman, Unique Subedi, Ambuj Tewari
  78. On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond ↗Thanh Nguyen-Tang, Raman Arora
  79. On Single-Index Models beyond Gaussian Data ↗Aaron Zweig, Loucas Pillaud‐Vivien, Joan Bruna
  80. On Slicing Optimality for Mutual Information ↗Ammar Fayad, Majd Ibrahim
  81. On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks ↗Laura Fee Nern, Harsh Raj, Maurice André Georgi et al.
  82. On kernel-based statistical learning theory in the mean field limit ↗Christian Fiedler, Michael Herty, Sebastian Trimpe
  83. On permutation symmetries in Bayesian neural network posteriors: a variational perspective ↗Simone Rossi, Ankit Singh, Thomas Hannagan
  84. On the Adversarial Robustness of Out-of-distribution Generalization Models ↗Xin Guo Zou, Weiwei Liu
  85. On the Exploration of Local Significant Differences For Two-Sample Test ↗Zhijian Zhou, Jie Ni, Jia-He Yao et al.
  86. On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis ↗Ta Duy Nguyen, Alina Ene, Huy Nguyen
  87. On the Identifiability of Sparse ICA without Assuming Non-Gaussianity ↗Ignavier Ng, Yujia Zheng, Xinshuai Dong et al.
  88. On the Implicit Bias of Linear Equivariant Steerable Networks ↗Ziyu Chen, Wei Zhu
  89. On the Interplay between Social Welfare and Tractability of Equilibria ↗Ioannis Anagnostides, Tüomas Sandholm
  90. On the Learnability of Multilabel Ranking ↗Vinod Raman, Unique Subedi, Ambuj Tewari
  91. On the Minimax Regret for Online Learning with Feedback Graphs ↗Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari et al.
  92. On the Power of SVD in the Stochastic Block Model ↗Xinyu Mao, Jiapeng Zhang
  93. On the Robustness of Mechanism Design under Total Variation Distance ↗Anuran Makur, Marios Mertzanidis, Alexandros Psomas et al.
  94. On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences ↗Alireza F. Pour, Hassan Ashtiani
  95. On the Size and Approximation Error of Distilled Datasets ↗Alaa Maalouf, Murad Tukan, Noel Loo et al.
  96. On the Sublinear Regret of GP-UCB ↗Justin Whitehouse, Aaditya Ramdas, Steven Wu
  97. On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training ↗Jieyu Zhang, Bohan Wang, Zhengyu Hu et al.
  98. On the Variance, Admissibility, and Stability of Empirical Risk Minimization ↗Gil Kur, Eli Putterman, Alexander Rakhlin
  99. On the spectral bias of two-layer linear networks ↗Aditya Varre, Maria-Luiza Vladarean, Loucas Pillaud‐Vivien et al.
  100. One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning ↗Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang et al.

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