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NeurIPS 2024: all accepted papers

4,494 papers · page 39 of 45 · the most cited first · ← NeurIPS 2024

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  1. Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium ↗Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Amirarsalan Rajabi et al.
  2. Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior ↗Madeline Navarro, Samuel Rey, Andrei Buciulea et al.
  3. Fair Online Bilateral Trade ↗François Bachoc, Nicolò Cesa‐Bianchi, Tommaso Cesari et al.
  4. Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty ↗Elita Lobo, Justin Payan, Cyrus Cousins et al.
  5. FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings ↗Xiao Jun Tan, Yiqin Wang, Yangyang Shen et al.
  6. FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models ↗Rui Hu, Qian He, Gaofeng He et al.
  7. Fast Proxy Experiment Design for Causal Effect Identification ↗Sepehr Elahi, Sina Akbari, Jalal Etesami et al.
  8. Fast Rates for Bandit PAC Multiclass Classification ↗Liad Erez, Alon Cohen, Tomer Koren et al.
  9. Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets ↗Taira Tsuchiya, Shinji Ito
  10. Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning ↗Aneesh Muppidi, Zhiyu Zhang, Heng Yang
  11. Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers ↗Krzysztof Choromański, Arijit Sehanobish, Somnath Chowdhury et al.
  12. Fast samplers for Inverse Problems in Iterative Refinement models ↗Kushagra Pandey, Ruihan Yang, Stephan Mandt
  13. FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models ↗Jiachang Liu, Rui Zhang, Cynthia D Rudin
  14. Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints ↗Zhenwei Lin, Qi Deng
  15. Faster Algorithms for User-Level Private Stochastic Convex Optimization ↗Andrew M. Lowy, Daogao Liu, Hilal Asi
  16. Fearless Stochasticity in Expectation Propagation ↗Jonathan So, Richard E. Turner
  17. FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction ↗Ziwei Li, Xiaoqi Wang, Hong-You Chen et al.
  18. Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups ↗Fengyu Gao, Ruiquan Huang, Jing Yang
  19. Feint Behaviors and Strategies: Formalization, Implementation and Evaluation ↗Junyu Liu, Xiangjun Peng
  20. Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond ↗Yingcong Li, Ankit Singh Rawat, Samet Oymak
  21. First-Order Minimax Bilevel Optimization ↗Yifan Yang, Zhaofeng Si, Siwei Lyu et al.
  22. Fixed Confidence Best Arm Identification in the Bayesian Setting ↗Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
  23. Flexible Context-Driven Sensory Processing in Dynamical Vision Models ↗Lakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare et al.
  24. Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception ↗Shuangpeng Han, Ziyu Wang, Mengmi Zhang
  25. From Instance Training to Instruction Learning: Task Adapters Generation from Instructions ↗Huanxuan Liao, Shizhu He, Yao Xu et al.
  26. From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization ↗Mohammad Pedramfar, Vaneet Aggarwal
  27. From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models ↗Zhuoshi Pan, Yuguang Yao, Sijia Liu et al.
  28. From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When ↗Kevin Christian Wibisono, Yixin Wang
  29. Full-Distance Evasion of Pedestrian Detectors in the Physical World ↗Cheng Zhi, Zhanhao Hu, Yuqiu Liu et al.
  30. Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products ↗Bethia Sun, Maurice Pagnucco, Yang Song
  31. Functional Gradient Flows for Constrained Sampling ↗Shiyue Zhang, Longlin Yu, Cheng Zhang et al.
  32. G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training ↗Che Liu, Cheng Ouyang, Sibo Lucas Cheng et al.
  33. GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning ↗Guibin Zhang, Haonan Dong, Yuchen Zhang et al.
  34. GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics ↗Dominik Klein, Théo Uscidda, Fabian Joachim Theis et al.
  35. GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent ↗Hongtai Zeng, Chao Yang, Yanzhen Zhou et al.
  36. Gated Inference Network: Inference and Learning State-Space Models ↗Hamidreza Hashempoor, Wan Choi
  37. Gaussian Process Bandits for Top-k Recommendations ↗Mohit Yadav, Daniel R. Sheldon, Cameron Musco
  38. General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process ↗Zhou Fang, Cewu Lu, Lixin Yang et al.
  39. Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming ↗Shinsaku Sakaue, Taihei Oki
  40. Generalization of Hamiltonian algorithms ↗Andreas Maurer
  41. Generalized Eigenvalue Problems with Generative Priors ↗Zhaoqiang Liu, Wen Li, Junren Chen
  42. Generalized Fast Exact Conformalization ↗Diyang Li
  43. Generalized Linear Bandits with Limited Adaptivity ↗Ayush Sawarni, Nirjhar Das, Siddharth Barman et al.
  44. Generate Universal Adversarial Perturbations for Few-Shot Learning ↗Yiman Hu, Yixiong Zou, Yuhua Li et al.
  45. Generative Forests ↗Richard Nock, Mathieu Guillame-Bert
  46. Geometric Analysis of Nonlinear Manifold Clustering ↗Nimita Shinde, Tianjiao Ding, Daniel Robinson et al.
  47. Geometric-Averaged Preference Optimization for Soft Preference Labels ↗Hiroki Furuta, Kuang-Huei Lee, Shixiang Gu et al.
  48. Geometry of naturalistic object representations in recurrent neural network models of working memory ↗Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
  49. Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework ↗Zhongchao Yi, Zhengyang Zhou, Qihe Huang et al.
  50. Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems ↗Francisco Acosta, Fatih Dinç, William T. Redman et al.
  51. Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing ↗Xixi Jia, Fangchen Feng, Deyu Meng et al.
  52. Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning ↗Huzi Cheng, Joshua W. Brown
  53. Going Beyond Heuristics by Imposing Policy Improvement as a Constraint ↗Chi-Chang Lee, Zhang-Wei Hong, Pulkit Agrawal
  54. Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints ↗Guanyu Nie, Vaneet Aggarwal, Christopher Quinn
  55. Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization ↗Amirhossein Saberi, Amir Najafi, Amin Behjati et al.
  56. Graph neural networks and non-commuting operators ↗Mauricio Velasco, Kaiying O’Hare, Bernardo Rychtenberg et al.
  57. Graph-based Uncertainty Metrics for Long-form Language Model Generations ↗Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri et al.
  58. GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction ↗Shijin Duan, Ruyi Ding, Jiaxing He et al.
  59. GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs ↗Zhao Zhang, Ziwei Zhao, Dong Wang et al.
  60. Great Minds Think Alike: The Universal Convergence Trend of Input Salience ↗Yipei Wang, Jeffrey Siskind, Xiaoqian Wang
  61. Group and Shuffle: Efficient Structured Orthogonal Parametrization ↗Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva et al.
  62. Group-wise oracle-efficient algorithms for online multi-group learning ↗Samuel Deng, Daniel Hsu, Jingwen Liu
  63. Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization ↗Taeyoung Yun, Sujin Yun, Jaewoo Lee et al.
  64. HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model ↗Khoa Vo, Thinh Phan, Kashu Yamazaki et al.
  65. HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems ↗Hao Xu, Jia Pan
  66. HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods ↗Barakeel Fanseu Kamhoua, Huamin Qu
  67. HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection ↗Binghui Xie, Yixuan Wang, Yongqiang Chen et al.
  68. Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models ↗Jinlin Lai, Justin Domke, Daniel R. Sheldon
  69. HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation ↗Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen et al.
  70. Harnessing small projectors and multiple views for efficient vision pretraining ↗Arna Ghosh, Kumar Agrawal, Shagun Sodhani et al.
  71. High Rank Path Development: an approach to learning the filtration of stochastic processes ↗Jiajie Tao, Hao Ni, Chong Liu
  72. High-probability complexity bounds for stochastic non-convex minimax optimization ↗Yassine Laguel, Yasa Syed, Necdet Serhat Aybat et al.
  73. Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing ↗Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama et al.
  74. Homology Consistency Constrained Efficient Tuning for Vision-Language Models ↗Huatian Zhang, Lei Zhang, Yongdong Zhang et al.
  75. Honor Among Bandits: No-Regret Learning for Online Fair Division ↗Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
  76. How Control Information Influences Multilingual Text Image Generation and Editing? ↗Boqiang Zhang, Zuan Gao, Yadong Qu et al.
  77. How does Gradient Descent Learn Features — A Local Analysis for Regularized Two-Layer Neural Networks ↗Mo Zhou, Rong Ge
  78. How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach ↗Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
  79. How many classifiers do we need? ↗Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen et al.
  80. How to Boost Any Loss Function ↗Richard Nock, Yishay Mansour
  81. How to Solve Contextual Goal-Oriented Problems with Offline Datasets? ↗Ying Fan, Jingling Li, Adith Swaminathan et al.
  82. Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability ↗Nina Gubina, Andrei Dmitrenko, Gleb Vitalevich Solovev et al.
  83. Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs ↗Kevin Tan, Wei Fan, Yuting Wei
  84. IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation ↗Fan Lin, Shuyi Xie, Yong Dai et al.
  85. IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model ↗Xiaoxuan Gong, Jie Ma
  86. Identifiability Analysis of Linear ODE Systems with Hidden Confounders ↗Yuanyuan Wang, Biwei Huang, Wei Huang et al.
  87. Identifiability Guarantees for Causal Disentanglement from Purely Observational Data ↗Ryan Welch, Jiaqi Zhang, Caroline Uhler
  88. Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention ↗Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram et al.
  89. Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures ↗Subash Timilsina, Sagar Shrestha, Xiao Fu
  90. Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments ↗Feng Xie, Zhen Yao, Lin Xie et al.
  91. Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees ↗Negin Musavi, Ziyao Guo, Geir E. Dullerud et al.
  92. Identifying Causal Effects Under Functional Dependencies ↗Yizuo Chen, Adnan Y. Darwiche
  93. Identifying Latent State-Transition Processes for Individualized Reinforcement Learning ↗Yuewen Sun, Biwei Huang, Yu Yao et al.
  94. Identifying Selections for Unsupervised Subtask Discovery ↗Yubin Qiu, Yujia Zheng, Yujia Zheng
  95. Idiographic Personality Gaussian Process for Psychological Assessment ↗Yehu Chen, Muchen Xi, Jacob Montgomery et al.
  96. If You Want to Be Robust, Be Wary of Initialization ↗Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis et al.
  97. Image2Struct: Benchmarking Structure Extraction for Vision-Language Models ↗Josselin Somerville Roberts, Tony Lee, Chi Heem Wong et al.
  98. Implicit Bias of Mirror Flow on Separable Data ↗Scott Pesme, Radu-Alexandru Dragomir, Nicolas Flammarion
  99. Implicit Curriculum in Procgen Made Explicit ↗Zhenxiong Tan, Kaixin Wang, Xinchao Wang
  100. Implicit Regularization of Decentralized Gradient Descent for Sparse Regression ↗Tongle Wu, Ying Sun

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