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NeurIPS 2024: all accepted papers

4,494 papers · page 31 of 45 · the most cited first · ← NeurIPS 2024

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  1. GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields ↗Weiyi Xue, Zehan Zheng, Fan Lü et al.1 citation
  2. Geometry-aware training of factorized layers in tensor Tucker format ↗Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti et al.1 citation
  3. Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning ↗Daniel Kunin, Allan Raventós, Clémentine Dominé et al.1 citation
  4. Gliding over the Pareto Front with Uniform Designs ↗Xiaoyuan Zhang, Genghui Li, Xi Lin et al.1 citation
  5. Global Convergence in Training Large-Scale Transformers ↗Cheng Gao, Yuan Jie Cao, Zihao Li et al.1 citation
  6. Globally Convergent Variational Inference ↗Declan McNamara, Jackson Loper, Jeffrey Regier1 citation
  7. GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages ↗Amir Hossein Kargaran, François Yvon, Hinrich Schütze1 citation
  8. Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization ↗Zhuang‐Hua Liu, Luo Luo, Bryan Kian Hsiang Low1 citation
  9. Gradient-Variation Online Learning under Generalized Smoothness ↗Yanfeng Xie, Peng Zhao, Zhihua Zhou1 citation
  10. Gradient-based Discrete Sampling with Automatic Cyclical Scheduling ↗Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan et al.1 citation
  11. Gradients of Functions of Large Matrices ↗Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy et al.1 citation
  12. Graph Coarsening with Message-Passing Guarantees ↗Antonin Joly, Nicolas Keriven1 citation
  13. Graph Learning for Numeric Planning ↗Dillon Z. Chen, Sylvie Thiébaux1 citation
  14. Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series ↗Giangiacomo Mercatali, André Freitas, Jie Chen1 citation
  15. Graph Neural Networks and Arithmetic Circuits ↗Timon Barlag, Vivian Holzapfel, Laura Strieker et al.1 citation
  16. Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention ↗Philipp Froehlich, Heinz Koeppl1 citation
  17. GraphVis: Boosting LLMs with Visual Knowledge Graph Integration ↗Yihe Deng, Chenchen Ye, Zijie Huang et al.1 citation
  18. Graphcode: Learning from multiparameter persistent homology using graph neural networks ↗Michael Kerber, Florian Russold1 citation
  19. Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization ↗Boshi Wang, Xiang Yue, Yu Su et al.1 citation
  20. HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models ↗Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler et al.1 citation
  21. Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation ↗Hongbo Wang, Jie Cao, Jin Liu et al.1 citation
  22. Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient ↗Vu Dinh, Lam Si Tung Ho, Cuong Nguyen1 citation
  23. Hamiltonian Score Matching and Generative Flows ↗Peter Holderrieth, Yilun Xu, Tommi Jaakkola1 citation
  24. Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction ↗Tuo Wang, Zhenbo Song, Zhenyu Lou et al.1 citation
  25. Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions ↗Khai Nguyen, Nhat Ho1 citation
  26. Hierarchical Programmatic Option Framework ↗Yu-An Lin, Chen-Tao Lee, Chih-Han Yang et al.1 citation
  27. Hierarchical and Density-based Causal Clustering ↗Kwangho Kim, Jisu Kim, Larry Wasserman et al.1 citation
  28. Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure ↗Simone Rossetti, Fiora Pirri1 citation
  29. High-dimensional (Group) Adversarial Training in Linear Regression ↗Yiling Xie, Xiaoming Huo1 citation
  30. Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models ↗Wonguk Cho, Seokeon Choi, Debasmit Das et al.1 citation
  31. How Diffusion Models Learn to Factorize and Compose ↗Qiyao Liang, Ziming Liu, Mitchell Ostrow et al.1 citation
  32. How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? ↗Chen Hong, Chen Hong, Bin Gu1 citation
  33. How Does Variance Shape the Regret in Contextual Bandits? ↗Zeyu Jia, Jian Qian, Alexander Rakhlin et al.1 citation
  34. How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad ↗Emmanuel A. Abbe, Samy Bengio, Aryo Lotfi et al.1 citation
  35. How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval ↗Philip Fradkin, Puria Azadi Moghadam, Karush Suri et al.1 citation
  36. How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression ↗Xingwu Chen, Lei Zhao, Difan Zou1 citation
  37. Human Expertise in Algorithmic Prediction ↗Rohan Alur, Manish Raghavan, Devavrat Shah1 citation
  38. HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets ↗Yang Yang, Wendi Ren, Shuang Li1 citation
  39. HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links ↗Haizhou Du, Yijian Chen, Ryan Yang et al.1 citation
  40. Hyperbolic Embeddings of Supervised Models ↗Richard Nock, Ehsan Amid, Frank Nielsen et al.1 citation
  41. IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents ↗Homaira Huda Shomee, Zhu Wang, Sourav Medya et al.1 citation
  42. Identifying General Mechanism Shifts in Linear Causal Representations ↗Tianyu Chen, Kevin Bello, Francesco Locatello et al.1 citation
  43. Identifying Spatio-Temporal Drivers of Extreme Events ↗Mohamad Hakam Shams Eddin, Jüergen Gall1 citation
  44. Image Copy Detection for Diffusion Models ↗Wenhao Wang, Yifan Sun, Zhentao Tan et al.1 citation
  45. Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions ↗Renjie Pi, Jianshu Zhang, Jipeng Zhang et al.1 citation
  46. Imitating Language via Scalable Inverse Reinforcement Learning ↗Markus Wulfmeier, Michael Bloesch, Nino Vieillard et al.1 citation
  47. Implicit Regularization Paths of Weighted Neural Representations ↗Jin‐Hong Du, Pratik Patil1 citation
  48. Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems ↗Bingcong Li, Liang Zhang, Niao He1 citation
  49. Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes ↗Qi Ma, Danda Pani Paudel, Ender Konukoğlu et al.1 citation
  50. Improved Analysis for Bandit Learning in Matching Markets ↗Fang Kong, Zilong Wang, Shuai Li1 citation
  51. Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms ↗Jiechao Guan, Hui Yun Xiong1 citation
  52. Improved Generation of Adversarial Examples Against Safety-aligned LLMs ↗Qizhang Li, Yiwen Guo, Wangmeng Zuo et al.1 citation
  53. Improved Regret for Bandit Convex Optimization with Delayed Feedback ↗Yuanyu Wan, Chang Yao, Mingli Song et al.1 citation
  54. Improved Sample Complexity for Multiclass PAC Learning ↗Steve Hanneke, Shay Moran, Qian Zhang1 citation
  55. Improved learning rates in multi-unit uniform price auctions ↗Marius Potfer, Dorian Baudry, Hugo Richard et al.1 citation
  56. Improving Adaptivity via Over-Parameterization in Sequence Models ↗Yicheng Li, Qian Lin1 citation
  57. Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation ↗Shiji Zhao, Ranjie Duan, Xizhe Wang et al.1 citation
  58. Improving Generalization and Convergence by Enhancing Implicit Regularization ↗Mingze Wang, Jinbo Wang, Haotian He et al.1 citation
  59. Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders ↗Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith et al.1 citation
  60. Improving robustness to corruptions with multiplicative weight perturbations ↗Trung Trinh, Markus Heinonen, Luigi Acerbi et al.1 citation
  61. In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization ↗Ruiqi Zhang, Jingfeng Wu, Peter L. Bartlett1 citation
  62. Incentivizing Quality Text Generation via Statistical Contracts ↗Eden Saig, Ohad Einav, Inbal Talgam-Cohen1 citation
  63. Induced Model Matching: Restricted Models Help Train Full-Featured Models ↗Usama Muneeb, Mesrob I. Ohannessian1 citation
  64. Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models ↗Zhengmian Hu, Heng Huang1 citation
  65. Inference of Neural Dynamics Using Switching Recurrent Neural Networks ↗Yongxu Zhang, Shreya Saxena1 citation
  66. Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference ↗Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov et al.1 citation
  67. Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors ↗Chao Chen, Yu-Shen Liu, Zhizhong Han1 citation
  68. Infinite-Dimensional Feature Interaction ↗Chenhui Xu, Fuxun Yu, Maoliang Li et al.1 citation
  69. Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models ↗Daniela de Albuquerque, John Pearson1 citation
  70. Information-theoretic Limits of Online Classification with Noisy Labels ↗Changlong Wu, Ananth Y. Grama, Wojciech Szpankowski A1 citation
  71. Initializing Services in Interactive ML Systems for Diverse Users ↗Avinandan Bose, Mihaela Curmei, Daniel Jiang et al.1 citation
  72. Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation ↗Shiyu Xia, Yuankun Zu, Yang Xu et al.1 citation
  73. Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models ↗Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou et al.1 citation
  74. Instance-Optimal Private Density Estimation in the Wasserstein Distance ↗Vitaly Feldman, Audra McMillan, Satchit Sivakumar et al.1 citation
  75. InstructG2I: Synthesizing Images from Multimodal Attributed Graphs ↗Bowen Jin, Ziqi Pang, Bingjun Guo et al.1 citation
  76. Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation ↗Arvind Vepa, Zukang Yang, Andrew Choi et al.1 citation
  77. InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques ↗Rohan Gupta, Iván Arcuschin, Thomas Kwa et al.1 citation
  78. Interpretable Generalized Additive Models for Datasets with Missing Values ↗Hayden McTavish, Jon P. Donnelly, Margo Seltzer et al.1 citation
  79. Interventional Causal Discovery in a Mixture of DAGs ↗Burak Varıcı, Dmitriy Katz, Dennis Wei et al.1 citation
  80. Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level ↗Runlin Lei, Yuwei Hu, Yuchen Ren et al.1 citation
  81. Is Function Similarity Over-Engineered? Building a Benchmark ↗Rebecca Saul, Chang Liu, Noah Fleischmann et al.1 citation
  82. Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval ↗Ashwin Ramachandran, Vaibhav Raj, Indrayumna Roy et al.1 citation
  83. KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis ↗Youngwan Lee, Kwanyong Park, Yoorhim Cho et al.1 citation
  84. LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image ↗Ruikai Cui, Xibin Song, Weixuan Sun et al.1 citation
  85. LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D ↗Zeng Tao, Tong Yang, Junxiong Lin et al.1 citation
  86. LLM-based Skill Diffusion for Zero-shot Policy Adaptation ↗Joo‐Young Kim, Youngseok Lee, Joo‐Young Kim et al.1 citation
  87. LLMs Can Evolve Continually on Modality for X-Modal Reasoning ↗Jiazuo Yu, Haomiao Xiong, Lu Zhang et al.1 citation
  88. LOVA3: Learning to Visual Question Answering, Asking and Assessment ↗Henry Hengyuan Zhao, Pan Zhou, Difei Gao et al.1 citation
  89. Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases ↗Hang Yin, Liyao Xiang, Dong Ding et al.1 citation
  90. Language Models as Hierarchy Encoders ↗Yuan He, Yuan He, Jiaoyan Chen et al.1 citation
  91. Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization ↗Yuhang Cai, Jingfeng Wu, Song Mei et al.1 citation
  92. Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities ↗Zaiwei Chen, Eric Mazumdar1 citation
  93. Learn To be Efficient: Build Structured Sparsity in Large Language Models ↗Haizhong Zheng, Xiaoyan Bai, Xueshen Liu et al.1 citation
  94. Learnability of high-dimensional targets by two-parameter models and gradient flow ↗Dmitry Yarotsky1 citation
  95. Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation ↗Xin Hu, Xiaole Tang, Ruixuan Yu et al.1 citation
  96. Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios ↗Shihan Ma, Bo Hu, Tianyu Jia et al.1 citation
  97. Learning De-Biased Representations for Remote-Sensing Imagery ↗Zichen Tian, Zhaozheng Chen, Qianru Sun1 citation
  98. Learning Discrete Concepts in Latent Hierarchical Models ↗Lingjing Kong, Guangyi Chen, Biwei Huang et al.1 citation
  99. Learning Distinguishable Trajectory Representation with Contrastive Loss ↗Juan Li, Kun Zhu, Juan Li et al.1 citation
  100. Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem ↗Fivos Kalogiannis, Jingming Yan, Ioannis Panageas1 citation

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