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NeurIPS 2024: all accepted papers

4,494 papers · page 33 of 45 · the most cited first · ← NeurIPS 2024

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  1. Newswire: A Large-Scale Structured Database of a Century of Historical News ↗Emily Silcock, Abhishek Arora, Luca D’Amico-Wong et al.1 citation
  2. Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms ↗Felix Petersen, Christian Borgelt, Tobias Sutter et al.1 citation
  3. No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models ↗Angéline Pouget, Lucas Beyer, Emanuele Bugliarello et al.1 citation
  4. No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery ↗Alex Rutherford, Michael Beukman, Timon Willi et al.1 citation
  5. No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations ↗Walter Simoncini, Spyros Gidaris, Andrei Bursuc et al.1 citation
  6. No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests ↗Davide Legacci, Panayotis Mertikopoulos, Christos H. Papadimitriou et al.1 citation
  7. Noether's Razor: Learning Conserved Quantities ↗Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan1 citation
  8. Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom ↗Tri Nguyen, Shahana Ibrahim, Xiao Fu1 citation
  9. Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods ↗Jia‐Mian Hu, Yuanyuan Hong, Yihua Chen et al.1 citation
  10. Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset ↗Alexandre Galashov, Michalis K. Titsias, András György et al.1 citation
  11. Non-asymptotic Convergence of Training Transformers for Next-token Prediction ↗Ruiquan Huang, Yingbin Liang, Jing Yang1 citation
  12. Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks ↗Zixuan Zhang, Kaiqi Zhang, Minshuo Chen et al.1 citation
  13. Nonparametric Evaluation of Noisy ICA Solutions ↗Syamantak Kumar, Purnamrita Sarkar, Peter J. Bickel et al.1 citation
  14. Not so griddy: Internal representations of RNNs path integrating more than one agent ↗William T. Redman, Santiago Acosta–Mendoza, Santiago Acosta–Mendoza et al.1 citation
  15. Nuclear Fusion Diamond Polishing Dataset ↗Antonios Alexos, Junze Liu, Shashank Galla et al.1 citation
  16. OPEL: Optimal Transport Guided ProcedurE Learning ↗Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy1 citation
  17. OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators ↗Allen Nie, Yash Chandak, Christina J. Yuan et al.1 citation
  18. OSLO: One-Shot Label-Only Membership Inference Attacks ↗Yuefeng Peng, Jaechul Roh, Subhransu Maji et al.1 citation
  19. OccFusion: Rendering Occluded Humans with Generative Diffusion Priors ↗Adam Sun, Tiange Xiang, Scott L. Delp et al.1 citation
  20. Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding ↗Chuyang Zhao, Yuxin Song, Junru Chen et al.1 citation
  21. Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting ↗Brandon Victor, Mathilde Letard, Peter Naylor et al.1 citation
  22. Offline Behavior Distillation ↗Shiye Lei, Sen Zhang, Dacheng Tao1 citation
  23. On Differentially Private Subspace Estimation in a Distribution-Free Setting ↗Eliad Tsfadia1 citation
  24. On Differentially Private U Statistics ↗Kamalika Chaudhuri, Po‐Ling Loh, Shourya Pandey et al.1 citation
  25. On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion ↗Chenghao Fan, Zhenyi Lu, Wei Wei et al.1 citation
  26. On Sparse Canonical Correlation Analysis ↗Yongchun Li, Santanu Dey, Weijun Xie1 citation
  27. On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries ↗Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro1 citation
  28. On the Computational Complexity of Private High-dimensional Model Selection ↗Saptarshi Roy, Zehua Wang, Ambuj Tewari1 citation
  29. On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution ↗Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar et al.1 citation
  30. On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function ↗Yu Xiang, Jie Qiao, Zhefeng Liang et al.1 citation
  31. On the Inductive Bias of Stacking Towards Improving Reasoning ↗Nikunj Saunshi, Stefani Karp, Shankar Krishnan et al.1 citation
  32. On the Power of Decision Trees in Auto-Regressive Language Modeling ↗Yulu Gan, Tomer Galanti, Tomaso Poggio et al.1 citation
  33. On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games ↗Awni Altabaa, Zhuoran Yang1 citation
  34. On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity ↗Chao Wang, Xin He, Yuwen Wang et al.1 citation
  35. On the Use of Anchoring for Training Vision Models ↗Vivek Narayanaswamy, Kowshik Thopalli, Rushil Anirudh et al.1 citation
  36. On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance ↗Zhixiong Nan, Yilong Chen, Tianfei Zhou et al.1 citation
  37. One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently ↗Weida Li, Yaoliang Yu1 citation
  38. OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance ↗Jiahao Wang, Caixia Yan, Haonan Lin et al.1 citation
  39. Online Bayesian Persuasion Without a Clue ↗Francesco Bacchiocchi, Matteo Bollini, Matteo Castiglioni et al.1 citation
  40. Online Estimation via Offline Estimation: An Information-Theoretic Framework ↗Dylan J. Foster, Yanjun Han, Jian Qian et al.1 citation
  41. Online Learning with Sublinear Best-Action Queries ↗Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi et al.1 citation
  42. Online Relational Inference for Evolving Multi-agent Interacting Systems ↗Beomseok Kang, Priyabrata Saha, Sudarshan Kumar Sharma et al.1 citation
  43. Opponent Modeling based on Subgoal Inference ↗Xiaopeng Yu, Jiechuan Jiang, Xiaopeng Yu1 citation
  44. Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift ↗Jiawei Ge, Debarghya Mukherjee, Jianqing Fan1 citation
  45. Optimal Batched Best Arm Identification ↗Tianyuan Jin, Jing Tang, Jing Tang et al.1 citation
  46. Optimal Classification under Performative Distribution Shift ↗Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif C et al.1 citation
  47. Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms ↗Dimitri Meunier, Zikai Shen, Mattes Mollenhauer et al.1 citation
  48. Optimal Top-Two Method for Best Arm Identification and Fluid Analysis ↗Agniv Bandyopadhyay, Sandeep Juneja, Shubhada Agrawal1 citation
  49. Optimization Can Learn Johnson Lindenstrauss Embeddings ↗Nikos Tsikouras, Constantine Caramanis, Christos Tzamos1 citation
  50. Order-Independence Without Fine Tuning ↗Reid McIlroy-Young, Katrina Brown, Conlan Olson et al.1 citation
  51. OxonFair: A Flexible Toolkit for Algorithmic Fairness ↗Eoin D. Delaney, Zihao Fu, Sandra Wachter et al.1 citation
  52. PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining ↗Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari et al.1 citation
  53. PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond ↗Chen Song, Zhenxiao Liang, Bo Sun et al.1 citation
  54. PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics ↗Wassim Gabriel, Omar Osama Shouman, Ayla Schroeder et al.1 citation
  55. PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling ↗Hao Wu, Changhu Wang, Fan Xu et al.1 citation
  56. Parallelizing Model-based Reinforcement Learning Over the Sequence Length ↗Zirui Wang, Yue Deng, Junfeng Long et al.1 citation
  57. Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent ↗Liu Ziyin, Mingze Wang, Hongchao Li et al.1 citation
  58. Parameter-free Clipped Gradient Descent Meets Polyak ↗Yuki Takezawa, Han Bao, Ryoma Sato et al.1 citation
  59. Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits ↗Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu1 citation
  60. Pearls from Pebbles: Improved Confidence Functions for Auto-labeling ↗Harit Vishwakarma, Yi Chen, Sui Jiet Tay et al.1 citation
  61. Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds ↗Pengyu Chen, Xu Shi, Rujun Jiang et al.1 citation
  62. Perceptual Fairness in Image Restoration ↗Guy Ohayon, Michael Elad, Tomer Michaeli1 citation
  63. Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments ↗Luca Barsellotti, Roberto Bigazzi, Marcella Cornia et al.1 citation
  64. Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling ↗Zijie Huang, Wanjia Zhao, Jingdong Gao et al.1 citation
  65. Plant-and-Steal: Truthful Fair Allocations via Predictions ↗Ilan Reuven Cohen, Alon Eden, Talya Eden et al.1 citation
  66. Policy Improvement using Language Feedback Models ↗Victor Zhong, Dipendra Kumar Misra, Xingdi Yuan et al.1 citation
  67. Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting ↗Xionghui Chen, Ziyan Wang, Yali Du et al.1 citation
  68. Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games ↗Gabriele Farina, Charilaos Pipis1 citation
  69. Post-Hoc Reversal: Are We Selecting Models Prematurely? ↗Rishabh Ranjan, Saurabh Garg, Mrigank Raman et al.1 citation
  70. Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality Constraint ↗Murad Tukan, Loay Mualem, Moran Feldman1 citation
  71. Pre-trained Large Language Models Use Fourier Features to Compute Addition ↗Tianyi Zhou, Deqing Fu, Vatsal Sharan et al.1 citation
  72. Predicting the Performance of Foundation Models via Agreement-on-the-Line ↗Rahul Saxena, Taeyoun Kim, Aman Mehra et al.1 citation
  73. PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference ↗Kendong Liu, Zhiyu Zhu, Chuanhao Li et al.1 citation
  74. Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice ↗Sebastiaan De Peuter, Shibei Zhu, Yujia Guo et al.1 citation
  75. Preferential Normalizing Flows ↗Petrus Mikkola, Luigi Acerbi, Arto Klami A1 citation
  76. Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context ↗Kazusato Oko, Yujin Song, Taiji Suzuki et al.1 citation
  77. Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training ↗Kristjan H. Greenewald, Yuan-Cheng Yu, Hao Wang et al.1 citation
  78. Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry ↗Raef Bassily, Cristóbal Guzmán, Michael Menart1 citation
  79. Private Online Learning via Lazy Algorithms ↗Hilal Asi, Tomer Koren, Daogao Liu et al.1 citation
  80. Private and Personalized Frequency Estimation in a Federated Setting ↗Amrith Setlur, Vitaly Feldman, Kunal Talwar1 citation
  81. Probablistic Emulation of a Global Climate Model with Spherical DYffusion ↗Salva Rühling Cachay, Brian Henn, Oliver Watt‐Meyer et al.1 citation
  82. ProgressGym: Alignment with a Millennium of Moral Progress ↗Tianyi Qiu, Yang Zhang, Xuchuan Huang et al.1 citation
  83. Progressive Entropic Optimal Transport Solvers ↗Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein et al.1 citation
  84. Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation ↗Abhinav Jain, Swarat Chaudhuri, Thomas Reps et al.1 citation
  85. ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field ↗Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You et al.1 citation
  86. Provable Benefits of Complex Parameterizations for Structured State Space Models ↗Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik et al.1 citation
  87. Provable Tempered Overfitting of Minimal Nets and Typical Nets ↗Itamar Harel, William M. Hoza, Gal Vardi et al.1 citation
  88. Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation ↗Long-Fei Li, Yu-Jie Zhang, Peng Zhao et al.1 citation
  89. Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer ↗Zhihan Liu, Miao Lu, Shenao Zhang et al.1 citation
  90. Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning ↗Dake Bu, Wei Huang, Andi Han et al.1 citation
  91. Proving Olympiad Algebraic Inequalities without Human Demonstrations ↗Chenrui Wei, Mengzhou Sun, Wei Wang1 citation
  92. Proximal Causal Inference With Text Data ↗Jacob Chen, Rohit Bhattacharya, Katherine A. Keith1 citation
  93. ProxyFusion: Face Feature Aggregation Through Sparse Experts ↗Bhavin Jawade, Alexander Stone, Deen Dayal Mohan et al.1 citation
  94. Pseudo-Private Data Guided Model Inversion Attacks ↗Xiong Peng, Bo Han, Tongliang Liu et al.1 citation
  95. Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning ↗Hadi Hosseini, Sanjukta Roy, Duohan Zhang1 citation
  96. QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion ↗Yixing Xu, Chao Li, Chao Li et al.1 citation
  97. QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation ↗Gonçalo Faria, Sweta Agrawal, António Farinhas et al.1 citation
  98. QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs ↗Mohammad Shahverdikondori, Ehsan Mokhtarian, Negar Kiyavash1 citation
  99. RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning ↗Yujie Zhao, Jose Efraim Aguilar Escamilla, Weyl Lu et al.1 citation
  100. RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling ↗Tianhang Wang, Fan Lu, Zehan Zheng et al.1 citation

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