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NeurIPS 2024: all accepted papers

4,494 papers · page 24 of 45 · the most cited first · ← NeurIPS 2024

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  1. FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation ↗Ruizhe Zhong, Xingbo Du, Shixiong Kai et al.2 citations
  2. Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals ↗Abhiram Iyer, Sarthak Chandra, Sugandha Sharma et al.2 citations
  3. Flipping-based Policy for Chance-Constrained Markov Decision Processes ↗Xun Shen, Shuo Jiang, Akifumi Wachi et al.2 citations
  4. Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching ↗Yasi Zhang, Peiyu Yu, Yaxuan Zhu et al.2 citations
  5. FouRA: Fourier Low-Rank Adaptation ↗Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey et al.2 citations
  6. Fractal Patterns May Illuminate the Success of Next-Token Prediction ↗Ibrahim Alabdulmohsin, Vinh Tran, Mostafa Dehghani2 citations
  7. Functional Bilevel Optimization for Machine Learning ↗Ieva Petrulionyte, Julien Mairal, Michael Arbel2 citations
  8. GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration ↗Silong Yong, Yaqi Xie, Simon Stepputtis et al.2 citations
  9. GRANOLA: Adaptive Normalization for Graph Neural Networks ↗Moshe Eliasof, Beatrice Bevilacqua, Carola‐Bibiane Schönlieb et al.2 citations
  10. GUIDE: Real-Time Human-Shaped Agents ↗Lingyu Zhang, Zhengran Ji, Nicholas R. Waytowich et al.2 citations
  11. GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps ↗Muhammad Umair Nasir, Steven D. James, Julian Togelius2 citations
  12. Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning ↗Sergey Samsonov, Éric Moulines, Qi-Man Shao et al.2 citations
  13. GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts ↗Deyu Zou, Shikun Liu, Siqi Miao et al.2 citations
  14. GenRec: Unifying Video Generation and Recognition with Diffusion Models ↗Zejia Weng, Xitong Yang, Zhen Xing et al.2 citations
  15. General bounds on the quality of Bayesian coresets ↗Trevor Campbell2 citations
  16. Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts ↗Andong Wang, Yuning Qiu, Mingyuan Bai et al.2 citations
  17. Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization ↗Haoran Li, Ziyuan Jiang, Yuhui Chen et al.2 citations
  18. Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search ↗Nicola Dainese, Matteo Merler, Minttu Alakuijala et al.2 citations
  19. Generating Highly Designable Proteins with Geometric Algebra Flow Matching ↗Simon Wagner, Leif Seute, Vsevolod Viliuga et al.2 citations
  20. Generative Fractional Diffusion Models ↗Gabriel Nobis, Maximilian Springenberg, Marco Aversa et al.2 citations
  21. Genetic-guided GFlowNets for Sample Efficient Molecular Optimization ↗Hyeonah Kim, Hyeonah Kim, Sanghyeok Choi et al.2 citations
  22. Geometric Exploitation for Indoor Panoramic Semantic Segmentation ↗Duc Cao Dinh, Seok Joon Kim, Kyusung Cho2 citations
  23. Geometric Trajectory Diffusion Models ↗Jiaqi Han, Minkai Xu, Aaron Lou et al.2 citations
  24. Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures ↗Yadong Sun, Xiaofeng Cao, Yu Wang et al.2 citations
  25. Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images ↗Qi Song, Ziyuan Luo, Ka Chun Cheung et al.2 citations
  26. Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment ↗Jiaxiang Li, Siliang Zeng, Hoi-To Wai et al.2 citations
  27. Global Rewards in Restless Multi-Armed Bandits ↗Naveen Janaki Raman, Zheyuan Ryan Shi, Fei Fang2 citations
  28. GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching ↗Haibin He, Haibin He, Jing Zhang et al.2 citations
  29. Goal-Conditioned On-Policy Reinforcement Learning ↗Xudong Gong, Dawei Feng, Kele Xu et al.2 citations
  30. Gradient Rewiring for Editable Graph Neural Network Training ↗Zhimeng Jiang, Zirui Liu, Xiaotian Han et al.2 citations
  31. Gradient-free Decoder Inversion in Latent Diffusion Models ↗Seongmin Hong, Suh Jeon, Kyeonghyun Lee et al.2 citations
  32. Graph Edit Distance with General Costs Using Neural Set Divergence ↗Eeshaan Jain, Indradyumna Roy, Saswat Meher et al.2 citations
  33. Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame ↗Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould2 citations
  34. HGDL: Heterogeneous Graph Label Distribution Learning ↗Yufei Jin, Heng Hui Lian, Yi He et al.2 citations
  35. HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning ↗Momin Khan, Yasra Chandio, Fatima M. Anwar2 citations
  36. Harnessing Multiple Correlated Networks for Exact Community Recovery ↗Miklós Zoltán Rácz, Jifan Zhang2 citations
  37. Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding ↗Jaeyoo Park, Jin Choi, Jaeyoo Park et al.2 citations
  38. Higher-Order Causal Message Passing for Experimentation with Complex Interference ↗Mohsen Bayati, Yuwei Luo, William Overman et al.2 citations
  39. HonestLLM: Toward an Honest and Helpful Large Language Model ↗Chujie Gao, Siyuan Wu, Yue Ming Huang et al.2 citations
  40. How Does Message Passing Improve Collaborative Filtering? ↗Clark Ju, William Shiao, Zhichun Guo et al.2 citations
  41. How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers ↗Xin Lu, Yanyan Zhao, Bing Qin et al.2 citations
  42. Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning ↗Jifan Zhang, Lalit Jain, Yang Guo et al.2 citations
  43. Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models ↗Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao et al.2 citations
  44. I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token ↗Roi Cohen, Konstantin Dobler, Eden Biran et al.2 citations
  45. ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling ↗Francesca Babiloni, Alexandros Lattas, Jiankang Deng et al.2 citations
  46. IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs ↗Xi Gao, Jinxin Xiong, Akang Wang et al.2 citations
  47. IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons ↗Dan Shi, Renren Jin, Tianhao Shen et al.2 citations
  48. IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing ↗Wenjun Zhang, Liangxiao Jiang, Chaoqun Li2 citations
  49. Image-aware Evaluation of Generated Medical Reports ↗Gefen Dawidowicz, Elad Hirsch, Ayellet Tal2 citations
  50. Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment ↗Yiheng Li, Heyang Jiang, Akio Kodaira et al.2 citations
  51. Implicit Optimization Bias of Next-token Prediction in Linear Models ↗Christos Thrampoulidis2 citations
  52. Improved Algorithms for Contextual Dynamic Pricing ↗Matilde Tullii, Solenne Gaucher, Nadav Merlis et al.2 citations
  53. Improving Context-Aware Preference Modeling for Language Models ↗Silviu Pitis, Ziang Xiao, Nicolas Le Roux et al.2 citations
  54. Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach ↗Hao Zhang, Chenglin Li, Nuowen Kan et al.2 citations
  55. Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective ↗Yibo Miao, Yinpeng Dong, Jinlai Zhang et al.2 citations
  56. In-Context Learning State Vector with Inner and Momentum Optimization ↗Dongfang Li, Zhenyu Liu, Xinshuo Hu et al.2 citations
  57. In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness ↗Liam Collins, Advait Parulekar, Aryan Mokhtari et al.2 citations
  58. In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment ↗Dongting Hu, Huan Fu, Jiaxian Guo et al.2 citations
  59. Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation ↗Daehee Lee, Minjong Yoo, Woo Kyung Kim et al.2 citations
  60. Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse ↗Samuel Lippl, Jack W. Lindsey2 citations
  61. Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline ↗Qi Jia, Baoyu Fan, Cong Xu et al.2 citations
  62. Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models ↗Zun Wang, Chang Liu, Nianlong Zou et al.2 citations
  63. Instruction-Guided Visual Masking ↗Jinliang Zheng, Jianxiong Li, Sijie Cheng et al.2 citations
  64. Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification ↗Zhaorui Tan, Xi Yang, Qiufeng Wang et al.2 citations
  65. Interpretable Mesomorphic Networks for Tabular Data ↗Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka2 citations
  66. IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors ↗Shenghe Zheng, Hongzhi Wang, Xianglong Liu2 citations
  67. Intrinsic Self-Supervision for Data Quality Audits ↗Fabian Gröger, Simone Lionetti, Philippe Gottfrois et al.2 citations
  68. Inversion-based Latent Bayesian Optimization ↗Jaewon Chu, Jinyoung Park, Seunghun Lee et al.2 citations
  69. Is Value Learning Really the Main Bottleneck in Offline RL? ↗Seohong Park, Kevin Frans, Sergey Levine et al.2 citations
  70. Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning ↗Divyam Madaan, Taro Makino, Sumit Chopra et al.2 citations
  71. KFNN: K-Free Nearest Neighbor For Crowdsourcing ↗Wenjun Zhang, Liangxiao Jiang, Chaoqun Li2 citations
  72. Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling ↗Jiatao Gu, Ying Shen, Shuangfei Zhai et al.2 citations
  73. KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension ↗Jie Yang, Wang Zeng, Sheng Jin et al.2 citations
  74. LACIE: Listener-Aware Finetuning for Calibration in Large Language Models ↗Elias Stengel-Eskin, Peter Hase, Mohit Bansal2 citations
  75. LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling ↗Yaohua Zha, Naiqi Li, Yanzi Wang et al.2 citations
  76. LG-CAV: Train Any Concept Activation Vector with Language Guidance ↗Bingde Hu, Jie Song, Mengqi Xue et al.2 citations
  77. LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages ↗Andrew Bean, Simi Hellsten, Harry Mayne et al.2 citations
  78. LLM Circuit Analyses Are Consistent Across Training and Scale ↗Curt Tigges, Michael Hanna, Qinan Yu et al.2 citations
  79. Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM) ↗Jakob Hauser, Dániel Kondor, Jenny Reddish et al.2 citations
  80. Latent Functional Maps: a spectral framework for representation alignment ↗Marco Fumero, Marco Pegoraro, Valentino Maiorca et al.2 citations
  81. Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference ↗Deqian Kong, Dehong Xu, Minglu Zhao et al.2 citations
  82. Learning 3D Garment Animation from Trajectories of A Piece of Cloth ↗Yidi Shao, Chen Change Loy, Bo Dai2 citations
  83. Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure ↗Bozhen Hu, Cheng Tan, Jun Xia et al.2 citations
  84. Learning Discrete Latent Variable Structures with Tensor Rank Conditions ↗Zhengming Chen, Ruichu Cai, Feng Kun Xie et al.2 citations
  85. Learning Distributions on Manifolds with Free-Form Flows ↗Peter Sorrenson, Felix Draxler, Armand Rousselot et al.2 citations
  86. Learning Human-like Representations to Enable Learning Human Values ↗Andrea Wynn, Ilia Sucholutsky, Thomas L. Griffiths2 citations
  87. Learning Identifiable Factorized Causal Representations of Cellular Responses ↗Haiyi Mad, Romain Lopez, Kai Liu et al.2 citations
  88. Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems ↗Jason Hu, Bowen Song, Xiaojian Xu et al.2 citations
  89. Learning Macroscopic Dynamics from Partial Microscopic Observations ↗Mengyi Chen, Qianxiao Li2 citations
  90. Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees ↗Sean Jaffe, Alexander Davydov, Deniz Lapsekili et al.2 citations
  91. Learning World Models for Unconstrained Goal Navigation ↗Ye Duan, Wensen Mao, He Zhu2 citations
  92. Learning diffusion at lightspeed ↗Antonio Terpin, Nicolas Lanzetti, Martín Gadea et al.2 citations
  93. Learning diverse causally emergent representations from time series data ↗David McSharry, Christos Kaplanis, Fernando E. Rosas et al.2 citations
  94. Learning from Highly Sparse Spatio-temporal Data ↗Leyan Deng, Defu Lian, Chenwang Wu et al.2 citations
  95. Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks ↗Eszter Székely, Lorenzo Bardone, Federica Gerace et al.2 citations
  96. Learning predictable and robust neural representations by straightening image sequences ↗Xueyan Niu, Cristina Savin, Eero P. Simoncelli2 citations
  97. Learning the Infinitesimal Generator of Stochastic Diffusion Processes ↗Vladimir Kostic, Karim Lounici, Hélène Halconruy et al.2 citations
  98. Learning to Edit Visual Programs with Self-Supervision ↗R. Kenny Jones, Renhao Zhang, Aditya Ganeshan et al.2 citations
  99. Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios ↗Shantanu Jaiswal, Debaditya Roy, Basura Fernando et al.2 citations
  100. Learning to Understand: Identifying Interactions via the Möbius Transform ↗Justin Kang, Yigit Efe Erginbas, Landon Butler et al.2 citations

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