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NeurIPS 2024: all accepted papers

4,494 papers · page 27 of 45 · the most cited first · ← NeurIPS 2024

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  1. TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models ↗Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski et al.2 citations
  2. TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases ↗Thibault Simonetto, Salah Ghamizi, Maxime Cordy2 citations
  3. Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models ↗Jack Merullo, Carsten Eickhoff, Ellie Pavlick2 citations
  4. Taming Generative Diffusion Prior for Universal Blind Image Restoration ↗Siwei Tu, Weidong Yang, Ben Fei2 citations
  5. Task-oriented Time Series Imputation Evaluation via Generalized Representers ↗Zhixian Wang, Linxiao Yang, Liang Sun et al.2 citations
  6. Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis ↗Diwen Wan, Diwen Wan, Ruijie Lu et al.2 citations
  7. Testably Learning Polynomial Threshold Functions ↗Lucas Slot, Stefan Tiegel, Manuel Wiedmer2 citations
  8. The Fairness-Quality Tradeoff in Clustering ↗Rashida Hakim, Ana-Andreea Stoica, Christos H. Papadimitriou et al.2 citations
  9. The Fine-Grained Complexity of Gradient Computation for Training Large Language Models ↗Josh Alman, Zhao Song2 citations
  10. The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations ↗Tyler LaBonte, John Hill, Xinchen Zhang et al.2 citations
  11. The Impact of Geometric Complexity on Neural Collapse in Transfer Learning ↗Michael Munn, Benoît Dherin, Javier Gonzalvo2 citations
  12. The Limits of Differential Privacy in Online Learning ↗Bo Li, Wei Wang, Peng Ye2 citations
  13. The Prevalence of Neural Collapse in Neural Multivariate Regression ↗George Andriopoulos, Zixuan Dong, Li Guo et al.2 citations
  14. The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track ↗Eshta Bhardwaj, Harshit Gujral, Siyi Wu et al.2 citations
  15. The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning ↗M. Schneider, Robert Krug, Narunas Vaškevičius et al.2 citations
  16. The Value of Reward Lookahead in Reinforcement Learning ↗Nadav Merlis, Dorian Baudry, Vianney Perchet2 citations
  17. The surprising efficiency of temporal difference learning for rare event prediction ↗Xiaoou Cheng, Jonathan Weare2 citations
  18. Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks ↗Jim Zhao, Sidak Pal Singh, Aurélien Lucchi2 citations
  19. Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks ↗Arjun Subramonian, Jian Li Kang, Yizhou Sun2 citations
  20. Theoretical guarantees in KL for Diffusion Flow Matching ↗Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus2 citations
  21. Thinking Forward: Memory-Efficient Federated Finetuning of Language Models ↗Kunjal Panchal, Nisarg Parikh, Sunav Choudhary et al.2 citations
  22. Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models ↗Zhan Zhuang, Yulong Zhang, Xuehao Wang et al.2 citations
  23. To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation ↗Chenxi Zhao, Jinglei Shi, Liqiang Nie et al.2 citations
  24. To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning ↗Xiao Liu, Muyang Lyu, Cong Yu et al.2 citations
  25. Toward Approaches to Scalability in 3D Human Pose Estimation ↗Junhee Kim, Seong-Whan Lee2 citations
  26. Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration ↗Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang et al.2 citations
  27. Towards Human-AI Complementarity with Prediction Sets ↗Giovanni De Toni, Nastaran Okati, Suhas Thejaswi et al.2 citations
  28. Towards a Scalable Reference-Free Evaluation of Generative Models ↗Azim Ospanov, Jingwei Zhang, Mohammad Jalali et al.2 citations
  29. Towards the Dynamics of a DNN Learning Symbolic Interactions ↗Qihan Ren, Junpeng Zhang, Yang Xu et al.2 citations
  30. Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning ↗Andreas Schlaginhaufen, Maryam Kamgarpour2 citations
  31. Training Data Attribution via Approximate Unrolling ↗Juhan Bae, Wu Lin, Jonathan Lorraine et al.2 citations
  32. Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression ↗Deqing Fu, Tian-Qi Chen, Robin Jia et al.2 citations
  33. Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner ↗Hanwen Zhong, Jiaxin Chen, Yunhong Wang et al.2 citations
  34. Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness ↗Václav Voràček2 citations
  35. Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees ↗Nicolas Beltran-Velez, Alessandro Grande, Achille Nazaret et al.2 citations
  36. Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning ↗Shuguang Yu, Shuxing Fang, Ruixin Peng et al.2 citations
  37. U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers ↗Yuchuan Tian, Zhijun Tu, Hanting Chen et al.2 citations
  38. UDON: Universal Dynamic Online distillatioN for generic image representations ↗Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André de Melo Araújo et al.2 citations
  39. UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training ↗Biao Gong, Shuai Tan, Yutong Feng et al.2 citations
  40. UV-free Texture Generation with Denoising and Geodesic Heat Diffusion ↗Simone Foti, Stefanos P. Zafeiriou, Tolga Birdal2 citations
  41. Unconditional stability of a recurrent neural circuit implementing divisive normalization ↗Shivang Rawat, David J. Heeger, Stefano Martiniani2 citations
  42. Understanding Bias in Large-Scale Visual Datasets ↗Boya Zeng, Yida Yin, Z. A. Liu2 citations
  43. Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure ↗Xiang Li, Yixiang Dai, Qing Qu2 citations
  44. Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective ↗Akiyoshi Tomihari, Issei Sato2 citations
  45. Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling ↗Mingze Wang, Weinan E2 citations
  46. Understanding the Transferability of Representations via Task-Relatedness ↗Akshay Mehra, Yunbei Zhang, Jihun Hamm2 citations
  47. Unifying Generation and Prediction on Graphs with Latent Graph Diffusion ↗Cai Zhou, Xiyuan Wang, Muhan Zhang2 citations
  48. Unitary Convolutions for Learning on Graphs and Groups ↗Bobak T. Kiani, Lukas Fesser, Melanie Weber2 citations
  49. Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction ↗Anton Rodomanov, Xiaowen Jiang, Sebastian U. Stich2 citations
  50. Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need ↗Xianlong Wang, Minghui Li, Wei Liu et al.2 citations
  51. Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems ↗Jiawei Zhang, Jiaxin Zhuang, Cheng Jin et al.2 citations
  52. Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models ↗Sanae Lotfi, Yilun Kuang, Brandon Amos et al.2 citations
  53. Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization ↗Sanghyeob Song, Jaihyun Lew, Hyemi Jang et al.2 citations
  54. Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization ↗Jiarui Jiang, Wei Huang, Miao Zhang et al.2 citations
  55. Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis ↗Rachel S. Y. Teo, Tan Nguyen2 citations
  56. Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation ↗Nayeon Kim, Hongje Seong, Daehyun Ji et al.2 citations
  57. VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks ↗Yang Li, Shaobo Han, Yang Li2 citations
  58. VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization ↗Yiwei Zhang, Jin Gao, Fudong Ge et al.2 citations
  59. Validating Climate Models with Spherical Convolutional Wasserstein Distance ↗Robert Christopher Garrett, Trevor A. Le V. Harris, Zhuo Wang et al.2 citations
  60. VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception ↗Y. Ji, Yijie Chen, Liuqing Yang et al.2 citations
  61. Video Token Merging for Long Video Understanding ↗Seon‐Ho Lee, Jue Wang, Zhikang Zhang et al.2 citations
  62. Vision Mamba Mender ↗Jiacong Hu, Anda Cao, Zunlei Feng et al.2 citations
  63. Visual Perception by Large Language Model’s Weights ↗Feipeng Ma, Hongwei Xue, Mike Zheng Shou et al.2 citations
  64. Voila-A: Aligning Vision-Language Models with User's Gaze Attention ↗Kun Yan, Zeyu Wang, Lei Ji et al.2 citations
  65. Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion ↗Lubo Wang, Di Lin, Kairui Yang et al.2 citations
  66. Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness ↗Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi2 citations
  67. Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning ↗Takuo Matsubara2 citations
  68. WeiPer: OOD Detection using Weight Perturbations of Class Projections ↗Maximilian Granz, Manuel Heurich, Tim Landgraf2 citations
  69. Weight decay induces low-rank attention layers ↗Seijin Kobayashi, Yassir Akram, Johannes von Oswald2 citations
  70. What Variables Affect Out-of-Distribution Generalization in Pretrained Models? ↗Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo et al.2 citations
  71. When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models ↗Yinghui Li, Qingyu Stephanie Zhou, Yinghui Li et al.2 citations
  72. When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding ↗Marah Ghoummaid, Uri Shalit2 citations
  73. Where does In-context Learning Happen in Large Language Models? ↗Suzanna Sia, David Mueller, Kevin Duh2 citations
  74. Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval ↗Dvir Samuel, Rami Ben‐Ari, Matan Levy et al.2 citations
  75. Who's asking? User personas and the mechanics of latent misalignment ↗Asma Ghandeharioun, Ann Yuan, Marius Guerard et al.2 citations
  76. Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation ↗Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park et al.2 citations
  77. WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models ↗T. Varun Kalyan, Piyush Singh Pasi, Sahil Dharod et al.2 citations
  78. ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination ↗Xihuai Wang, Shao Zhang, Wenhao Zhang et al.2 citations
  79. ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark ↗Junfeng Guo, Yiming Li, Ruibo Chen et al.2 citations
  80. dattri: A Library for Efficient Data Attribution ↗Junwei Deng, Ting-Wei Li, Shiyuan Zhang et al.2 citations
  81. pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning ↗Jiaqi Wang, Qi Li, Lingjuan Lyu et al.2 citations
  82. 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction ↗Jongmin Lee, Minsu Cho1 citation
  83. 3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization ↗Rui Jiao, Xiangzhe Kong, Wenbing Huang et al.1 citation
  84. 4+3 Phases of Compute-Optimal Neural Scaling Laws ↗Elliot Paquette, Courtney Paquette, Lechao Xiao et al.1 citation
  85. A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings ↗Disha Makhija, Nhat Ho, Nhat Ho1 citation
  86. A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets ↗Kyung‐Eun Lee, Wonjong Rhee1 citation
  87. A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays ↗Saeed Masoudian, Julian Zimmert, Yevgeny Seldin1 citation
  88. A Compositional Atlas for Algebraic Circuits ↗Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck et al.1 citation
  89. A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression ↗Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios et al.1 citation
  90. A Functional Extension of Semi-Structured Networks ↗David Rügamer, Bernard X. W. Liew, Zainab Altai et al.1 citation
  91. A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization ↗Yizun Lin, Cheng Li, Cheng Li1 citation
  92. A Label is Worth A Thousand Images in Dataset Distillation ↗Tian Qin, Zhiwei Deng, David Alvarez-Melis1 citation
  93. A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks ↗Xiaolei Liu, Shaoshuai Li, Kaixin Gao et al.1 citation
  94. A Modular Conditional Diffusion Framework for Image Reconstruction ↗Magauiya Zhussip, Iaroslav Koshelev, Stamatios Lefkimmiatis1 citation
  95. A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation ↗Heyang Zhao, Jiafan He, Quanquan Gu1 citation
  96. A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding ↗Xinhai Zhang, Xingye Qiao1 citation
  97. A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration ↗Siyuan Zhang, Linbo Xie1 citation
  98. A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness ↗Jiangyuan Li, Jiayi Wang, Jiayi Wang et al.1 citation
  99. A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints ↗Liuyuan Jiang, Quan Xiao, Victor O. Tenorio et al.1 citation
  100. A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences ↗Mingjia Li, Shuo Liu, Hong Qian et al.1 citation

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