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NeurIPS 2024: all accepted papers

4,494 papers · page 23 of 45 · the most cited first · ← NeurIPS 2024

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  1. Consensus Learning with Deep Sets for Essential Matrix Estimation ↗Dror Moran, Yuval Margalit, Guy Trostianetsky et al.2 citations
  2. Consistency Models for Scalable and Fast Simulation-Based Inference ↗Marvin Schmitt, Valentin Pratz, Ullrich Köthe et al.2 citations
  3. Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data ↗Thibault Simonetto, Salah Ghamizi, Maxime Cordy2 citations
  4. Constrained Diffusion with Trust Sampling ↗William Huang, Yifeng Jiang, Tom Van Wouwe et al.2 citations
  5. Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge ↗Weihua Du, Qiushi Lyu, Jiaming Shan et al.2 citations
  6. Constrained Sampling with Primal-Dual Langevin Monte Carlo ↗Luiz F. O. Chamon, Mohammad Karimi, Anna Korba2 citations
  7. Contextual Bilevel Reinforcement Learning for Incentive Alignment ↗Vinzenz Thoma, Barna Pásztor, Andreas Krause et al.2 citations
  8. Contextual Decision-Making with Knapsacks Beyond the Worst Case ↗Zhaohua Chen, Rui Ai, Mingwei Yang et al.2 citations
  9. Continual learning with the neural tangent ensemble ↗Ari S. Benjamin, Christian Pehle, Kyle Daruwalla2 citations
  10. Continuous Temporal Domain Generalization ↗Zekun Cai, Zekun Cai, Renhe Jiang et al.2 citations
  11. Contrastive dimension reduction: when and how? ↗Sam Hawke, Yueen Ma, Didong Li2 citations
  12. CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning ↗Yibo Yang, Xiaojie Li, Zhongzhu Zhou et al.2 citations
  13. Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification ↗Haolin Liu, Artin Tajdini, Andrew Wagenmaker et al.2 citations
  14. Counterfactual Fairness by Combining Factual and Counterfactual Predictions ↗Zeyu Zhou, Tianci Liu, Ruqi Bai et al.2 citations
  15. Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions ↗Zhe Hu, Tuo Liang, Jing Li et al.2 citations
  16. Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions ↗Vinamra Benara, Chandan Singh, John Morris et al.2 citations
  17. CriticEval: Evaluating Large-scale Language Model as Critic ↗Tian Lan, Wenwei Zhang, Chen Xu et al.2 citations
  18. CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy ↗Jiakai Zhang, Qihe Chen, Yan Zeng et al.2 citations
  19. DAPE: Data-Adaptive Positional Encoding for Length Extrapolation ↗Chuanyang Zheng, Yihang Gao, Han Shi et al.2 citations
  20. DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators ↗Taesik Gong, Fahim Kawsar, Chulhong Min2 citations
  21. DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion ↗Yilong Chen, Linhao Zhang, Junyuan Shang et al.2 citations
  22. Data Acquisition via Experimental Design for Data Markets ↗Charles Lu, Baihe Huang, Sai Praneeth Karimireddy et al.2 citations
  23. Data Distribution Valuation ↗Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo et al.2 citations
  24. Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition ↗Edoardo Debenedetti, Javier Rando, Daniel Paleka et al.2 citations
  25. Debiasing Synthetic Data Generated by Deep Generative Models ↗Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey et al.2 citations
  26. Deep Bayesian Active Learning for Preference Modeling in Large Language Models ↗Luckeciano C. Melo, Panagiotis Tigas, Alessandro Abate et al.2 citations
  27. Deep Support Vectors ↗Junhoo Lee, Hyunho Lee, Kyomin Hwang et al.2 citations
  28. Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models ↗Bowen Ping, Shuo Wang, Hanqing Wang et al.2 citations
  29. Dense Associative Memory Through the Lens of Random Features ↗Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt et al.2 citations
  30. Detecting and Measuring Confounding Using Causal Mechanism Shifts ↗Abbavaram Gowtham Reddy, Vineeth Nallure Balasubramanian2 citations
  31. DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers ↗Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore2 citations
  32. Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation ↗Jin Woo Lee, Jae‐Hyun Park, Min Jun Choi et al.2 citations
  33. Differentially Private Optimization with Sparse Gradients ↗Badih Ghazi, Cristóbal Guzmán, Pritish Kamath et al.2 citations
  34. Differentially Private Reinforcement Learning with Self-Play ↗Dan Qiao, Yu-Xiang Wang2 citations
  35. Dimension-free deterministic equivalents and scaling laws for random feature regression ↗Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz2 citations
  36. DisC-GS: Discontinuity-aware Gaussian Splatting ↗Haoxuan Qu, Zhuoling Li, Hossein Rahmani et al.2 citations
  37. DisCEdit: Model Editing by Identifying Discriminative Components ↗Chaitanya Murti, Chiranjib Bhattacharyya2 citations
  38. Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection ↗Yu Zhang, Ruoyu Li, Nengwu Wu et al.2 citations
  39. Dissecting Query-Key Interaction in Vision Transformers ↗Pan Xu, Aaron Philip, Ziqian Xie et al.2 citations
  40. Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation ↗Zhiyi Pan, Wei Gao, Shan Ting Liu et al.2 citations
  41. Distributional Reinforcement Learning with Regularized Wasserstein Loss ↗Ke Sun, Yingnan Zhao, Wulong Liu et al.2 citations
  42. DistrictNet: Decision-aware learning for geographical districting ↗Cheikh Ahmed, Alexandre Forel, Axel Parmentier et al.2 citations
  43. Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec ↗Jun-Hyuk Kim, Seungeon Kim, Wonhee Lee et al.2 citations
  44. Do causal predictors generalize better to new domains? ↗Vivian Y. Nastl, Moritz Hardt2 citations
  45. Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling ↗Yuanqi Du, Michael Plainer, Rob Brekelmans et al.2 citations
  46. DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks ↗Zeyu Zhang, Lu Li, Shuyan M. Wan et al.2 citations
  47. Dual Critic Reinforcement Learning under Partial Observability ↗Jinqiu Li, Enmin Zhao, Tong Wei et al.2 citations
  48. Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models ↗Kaican Li, Weiyan Xie, Yongxiang Huang et al.2 citations
  49. Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss ↗Yifei Zhang, Huan-ang Gao, Zhou Jiang et al.2 citations
  50. EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding ↗Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang et al.2 citations
  51. ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks ↗Yuezhu Xu, S. Sivaranjani2 citations
  52. EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection ↗Sheng Wu, Hang Sheng, Hui Feng et al.2 citations
  53. Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision ↗Zhiqing Sun, Longhui Yu, Yikang Shen et al.2 citations
  54. Efficient Combinatorial Optimization via Heat Diffusion ↗Hengyuan Ma, Wenlian Lu, Jianfeng Feng2 citations
  55. Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate ↗Fan-Ming Luo, Zuolin Tu, Zefang Huang et al.2 citations
  56. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction ↗Wei Jiang, Sifan Yang, Wenhao Yang et al.2 citations
  57. Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes ↗Andrew Bennett, Nathan Kallus, Miruna Oprescu et al.2 citations
  58. EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation ↗Xinyi Yu, Haonan Jiang, Li Zhang et al.2 citations
  59. Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines ↗Mark Blacher, Christoph Staudt, Julien Klaus et al.2 citations
  60. End-To-End Causal Effect Estimation from Unstructured Natural Language Data ↗Nikita Dhawan, Leonardo Cotta, Karen Ullrich et al.2 citations
  61. Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning ↗Penghui Ruan, Pichao Wang, Divya Saxena et al.2 citations
  62. Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control ↗Yuxin Xiao, Chaoqun Wan, Yonggang Zhang et al.2 citations
  63. Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus ↗Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi et al.2 citations
  64. EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models ↗Shangquan Sun, Wenqi Ren, Zikun Liu et al.2 citations
  65. Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data ↗Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva et al.2 citations
  66. Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data ↗Miruna Oprescu, Nathan Kallus2 citations
  67. Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering ↗Fangdi Wang, Jiaqi Jin, Jingtao Hu et al.2 citations
  68. Evaluating Copyright Takedown Methods for Language Models ↗Boyi Wei, Weijia Shi, Yangsibo Huang et al.2 citations
  69. Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation ↗Krishna Prasad Neupane, Ervine Zheng, Qi Yu2 citations
  70. Exocentric-to-Egocentric Video Generation ↗Jiawei Liu, Weijia Mao, Zhongcong Xu et al.2 citations
  71. Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection ↗Charles Guille-Escuret, Pierre‐André Noël, Ioannis Mitliagkas et al.2 citations
  72. Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following ↗Minjong Yoo, Jinwoo Jang, Wei-jin Park et al.2 citations
  73. Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation ↗Mingjia Li, Shuang Li, Tongrui Su et al.2 citations
  74. Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning ↗Andrew Bond, Zafer Dogan2 citations
  75. Extending Multi-modal Contrastive Representations ↗Ziang Zhang, Zehan Wang, Luping Liu et al.2 citations
  76. FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? ↗Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed et al.2 citations
  77. FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection ↗Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu et al.2 citations
  78. FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection ↗Xinting Liao, Weiming Liu, Pengyang Zhou et al.2 citations
  79. FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features ↗Jitao Zhao, Di Jin, Meng Ge et al.2 citations
  80. FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving ↗Xiaohan Lin, Qingxing Cao, Yinya Huang et al.2 citations
  81. Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation ↗Xuehao Cui, Guangyang Wu, Zhenghao Gan et al.2 citations
  82. FactorSim: Generative Simulation via Factorized Representation ↗Fan-Yun Sun, S. Harini, Angela Yi et al.2 citations
  83. Fair Wasserstein Coresets ↗Zikai Xiong, Niccolò Dalmasso, Shubham Sharma et al.2 citations
  84. FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation ↗Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma et al.2 citations
  85. Fairness-Aware Meta-Learning via Nash Bargaining ↗Yi Zeng, Xuelin Yang, Li Chen et al.2 citations
  86. Fast Channel Simulation via Error-Correcting Codes ↗Sharang M. Sriramu, Rochelle Barsz, Elizabeth Polito et al.2 citations
  87. Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time ↗Zixiang Chen, Huizhuo Yuan, Yongqian Li et al.2 citations
  88. Fast and Memory-Efficient Video Diffusion Using Streamlined Inference ↗Zhan Zheng, Yu‐Shu Wu, Yifan Gong et al.2 citations
  89. Faster Local Solvers for Graph Diffusion Equations ↗Jiahe Bai, Baojian Zhou, Deqing Yang et al.2 citations
  90. Faster Repeated Evasion Attacks in Tree Ensembles ↗Lorenzo Cascioli, Laurens Devos, Ondřej Kuželka et al.2 citations
  91. Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification ↗Xi Yang, H. Liu, De Cheng et al.2 citations
  92. FedGMark: Certifiably Robust Watermarking for Federated Graph Learning ↗Yuxin Yang, Qiang Li, Yuan Hong et al.2 citations
  93. Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning ↗Dario Fenoglio, Gabriele Dominici, Pietro Barbiero et al.2 citations
  94. Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning ↗Tong Yang, Yuxin Chen, Yuejie Chi et al.2 citations
  95. Fetch and Forge: Efficient Dataset Condensation for Object Detection ↗Ding Qi, Jialin Li, Jinlong Peng et al.2 citations
  96. Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models ↗Dominik Hintersdorf, Lukas Struppek, Kristian Kersting et al.2 citations
  97. Finding good policies in average-reward Markov Decision Processes without prior knowledge ↗Adrienne Tuynman, Rémy Degenne, Emilie Kaufmann2 citations
  98. Fine-grained Control of Generative Data Augmentation in IoT Sensing ↗Tianshi Wang, Qikai Yang, Ruijie Wang et al.2 citations
  99. First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs ↗Ben Norman, Jeff Clune2 citations
  100. First-Order Methods for Linearly Constrained Bilevel Optimization ↗Guy Kornowski, Swati Padmanabhan, Kai Wang et al.2 citations

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