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NeurIPS 2024: all accepted papers

4,494 papers · page 29 of 45 · the most cited first · ← NeurIPS 2024

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  1. CLIP in Mirror: Disentangling text from visual images through reflection ↗Tiancheng Wang, Yuguang Yang, Linlin Yang et al.1 citation
  2. CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics ↗Wanru Zhao, Hongxiang Fan, Shell Xu Hu et al.1 citation
  3. CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions ↗Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang et al.1 citation
  4. CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search ↗Ming Yang, Yuzheng Cai, Weiguo Zheng1 citation
  5. Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? ↗Yinlin Deng, Chunqiu Xia, Zhezhen Cao et al.1 citation
  6. Can Learned Optimization Make Reinforcement Learning Less Difficult? ↗Alexander David Goldie, Chris Lu, Matthew Jackson et al.1 citation
  7. Causal Contrastive Learning for Counterfactual Regression Over Time ↗Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit et al.1 citation
  8. Causal Discovery from Event Sequences by Local Cause-Effect Attribution ↗Joscha Cüppers, Sascha Xu, Ahmed Musa et al.1 citation
  9. Causal discovery with endogenous context variables ↗Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel et al.1 citation
  10. Causal language modeling can elicit search and reasoning capabilities on logic puzzles ↗Kulin Shah, Nishanth Dikkala, Xin Wang et al.1 citation
  11. CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense ↗Mingkun Zhang, Keping Bi, Wei Chen et al.1 citation
  12. CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition ↗Zhonglin Sun, Siyang Song, Ioannis Patras et al.1 citation
  13. ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions ↗Etienne Vareille, Michele Linardi, Ioannis Tsamardinos et al.1 citation
  14. Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers ↗Qiufeng Wang, Xu Yang, Fu Feng et al.1 citation
  15. Co-occurrence is not Factual Association in Language Models ↗Xiao Zhang, Miao Li, Ji Wu1 citation
  16. CoFie: Learning Compact Neural Surface Representations with Coordinate Fields ↗Hanwen Jiang, Haitao Yang, Georgios Pavlakos et al.1 citation
  17. CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise ↗Lujian Yao, Haitao Zhao, Zhongze Wang et al.1 citation
  18. Coherent 3D Scene Diffusion From a Single RGB Image ↗Manuel Dahnert, Angela Dai, Norman E. Muller et al.1 citation
  19. ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation ↗Yizhuo Ma, Shanmin Pang, Qi Guo et al.1 citation
  20. Color-Oriented Redundancy Reduction in Dataset Distillation ↗Bowen Yuan, Zi Helen Huang, Mahsa Baktashmotlagh et al.1 citation
  21. Combining Statistical Depth and Fermat Distance for Uncertainty Quantification ↗Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi et al.1 citation
  22. Communication Efficient Distributed Training with Distributed Lion ↗Bo Liu, Lemeng Wu, Lizhang Chen et al.1 citation
  23. Compact Proofs of Model Performance via Mechanistic Interpretability ↗Jason Gross, Rajashree Agrawal, Thomas Kwa et al.1 citation
  24. Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference ↗Yonghan Jung, Min Woo Park, Sanghack Lee1 citation
  25. Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning ↗Beyazit Yalcinkaya, Niklas T. Lauffer, Marcell Vazquez-Chanlatte et al.1 citation
  26. Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond ↗Kirill Brilliantov, Amauri Holanda de Souza Junior, Vikas Garg1 citation
  27. Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference ↗Jonathan Wenger, Kaiwen Wu, Philipp Hennig et al.1 citation
  28. Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification ↗Junru Chen, Tianyu Cao, Jing Xu et al.1 citation
  29. ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization ↗Jianhua Sun, Yuxuan Li, Longfei Xu et al.1 citation
  30. Constrained Diffusion Models via Dual Training ↗Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro1 citation
  31. Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning ↗Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt et al.1 citation
  32. Continual Learning with Global Alignment ↗Xueying Bai, Jinghuan Shang, Yifan Sun et al.1 citation
  33. Continuous Partitioning for Graph-Based Semi-Supervised Learning ↗Chester Holtz, Chung‐Kuan Cheng, Zhengchao Wan et al.1 citation
  34. Controlled maximal variability along with reliable performance in recurrent neural networks ↗Chiara Mastrogiuseppe, Rubén Moreno‐Bote1 citation
  35. Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets ↗Eleni Straitouri, Suhas Thejaswi, Manuel Gomez-Rodriguez1 citation
  36. Convergence of No-Swap-Regret Dynamics in Self-Play ↗Renato Paes Leme, Georgios Piliouras, Jon Schneider1 citation
  37. Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging ↗Jiamian Wang, Zongliang Wu, Yulun Zhang et al.1 citation
  38. CosAE: Learnable Fourier Series for Image Restoration ↗Sifei Liu, Shalini De Mello, Jan Kautz1 citation
  39. Credit Attribution and Stable Compression ↗Roi Livni, Shay Moran, Kobbi Nissim B et al.1 citation
  40. CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference ↗Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker et al.1 citation
  41. DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering ↗Jiaxu Wang, Jingkai Sun, Junhao He et al.1 citation
  42. DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment ↗Gongpei Zhao, Congyan Lang, Congyan Lang et al.1 citation
  43. DINTR: Tracking via Diffusion-based Interpolation ↗Pha Nguyen, Ngan Le, Jackson D. Cothren et al.1 citation
  44. DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors ↗Joseph Ortiz, Antoine Dedieu, Wolfgang P. Lehrach et al.1 citation
  45. DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection ↗Shihao Tu, Linfeng Cao, Daoze Zhang et al.1 citation
  46. Data Attribution for Text-to-Image Models by Unlearning Synthesized Images ↗Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros et al.1 citation
  47. Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning ↗Seonghyun Ban, Heesan Kong, Kee-Eung Kim1 citation
  48. Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models ↗Samuel Holt, Zhaozhi Qian, Tennison Liu et al.1 citation
  49. DeTrack: In-model Latent Denoising Learning for Visual Object Tracking ↗Xinyu Zhou, J Li, Lingyi Hong et al.1 citation
  50. Dealing with Synthetic Data Contamination in Online Continual Learning ↗Maorong Wang, Nicolas Michel, Jiafeng Mao et al.1 citation
  51. Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions ↗Wenjing Yan, Xuanyu Cao1 citation
  52. Decomposable Transformer Point Processes ↗Aristeidis Panos1 citation
  53. Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization ↗Hongling Zheng, Li Shen, Yong Luo et al.1 citation
  54. Deep Equilibrium Algorithmic Reasoning ↗Dobrik Georgiev, Jj Wilson, Davide Buffelli et al.1 citation
  55. Deep Graph Mating ↗Yongcheng Jing, Seok-Hee Hong, Dacheng Tao1 citation
  56. Deep Learning for Computing Convergence Rates of Markov Chains ↗Yanlin Qu, José Blanchet, Peter W. Glynn1 citation
  57. Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers ↗Gautham Vasan, Mohamed Elsayed, Alireza Azimi et al.1 citation
  58. DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection ↗Hongyu Shen, Yici Yan, Zhizhen Zhao1 citation
  59. DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation ↗Hongyuan Tao, Hang Yu, Jianguo Li1 citation
  60. DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction ↗Qilong Ma, Haixu Wu, Lanxiang Xing et al.1 citation
  61. DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations ↗Zuowen Wang, Longbiao Cheng, Pehuén Moure et al.1 citation
  62. Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation ↗Songting Li, Jingyang Ma, Songting Li et al.1 citation
  63. DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging ↗Matteo Pagliardini, Amirkeivan Mohtashami, François Fleuret et al.1 citation
  64. Derivatives of Stochastic Gradient Descent in parametric optimization ↗Franck Iutzeler, Edouard Pauwels, Samuel Vaiter1 citation
  65. DiGRAF: Diffeomorphic Graph-Adaptive Activation Function ↗Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola‐Bibiane Schönlieb et al.1 citation
  66. Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models ↗Lai Wei, Zhiquan Tan, Chenghai Li et al.1 citation
  67. DiffPO: A causal diffusion model for learning distributions of potential outcomes ↗Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal et al.1 citation
  68. DiffPhyCon: A Generative Approach to Control Complex Physical Systems ↗Long Wei, Peiyan Hu, Ruiqi Feng et al.1 citation
  69. DiffSF: Diffusion Models for Scene Flow Estimation ↗Yushan Zhang, Bastian Wandt, Maria Magnusson et al.1 citation
  70. Differential Privacy in Scalable General Kernel Learning via K-means Nyström Random Features ↗Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park1 citation
  71. Differentially Private Graph Diffusion with Applications in Personalized PageRanks ↗Rongzhe Wei, Eli Chien, Pan Li1 citation
  72. Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement ↗Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia et al.1 citation
  73. Diffusion Imitation from Observation ↗Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai et al.1 citation
  74. Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting ↗Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong et al.1 citation
  75. Diffusion Twigs with Loop Guidance for Conditional Graph Generation ↗Giangiacomo Mercatali, Yogesh Verma, André Freitas et al.1 citation
  76. Diffusion-Reward Adversarial Imitation Learning ↗Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh et al.1 citation
  77. Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models ↗Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn et al.1 citation
  78. Directional Smoothness and Gradient Methods: Convergence and Adaptivity ↗Aaron Mishkin, Ahmed Khaled, Yuanhao Wang et al.1 citation
  79. Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration ↗Borja Leon, Francesco Riccio, Kaushik Subramanian et al.1 citation
  80. Discrete Dictionary-based Decomposition Layer for Structured Representation Learning ↗Taewon Park, Hyun‐Chul Kim, Minho Lee1 citation
  81. Disentangled Representation Learning in Non-Markovian Causal Systems ↗Adam Li, Yushu Pan, Elias Bareinboim1 citation
  82. Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis ↗Jiayu Su, David A. Knowles, Raúl Rabadán1 citation
  83. Disentangling and mitigating the impact of task similarity for continual learning ↗Naoki Hiratani1 citation
  84. Dissecting the Failure of Invariant Learning on Graphs ↗Qixun Wang, Qixun Wang, Yifei Wang et al.1 citation
  85. Distributed Least Squares in Small Space via Sketching and Bias Reduction ↗Sachin K Garg, Kevin Tan, Michał Dereziński1 citation
  86. Distributed-Order Fractional Graph Operating Network ↗Kai Zhao, Xuhao Li, Qiyu Kang et al.1 citation
  87. Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms ↗Miao Lu, Han Zhong, Tong Zhang et al.1 citation
  88. Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners ↗Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul1 citation
  89. Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation ↗Jingchang Chen, Hongxuan Tang, Zheng Chu et al.1 citation
  90. Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm ↗Eli Sennesh, Hao Wu, Tommaso Salvatori1 citation
  91. Di²Pose: Discrete Diffusion Model for Occluded 3D Human Pose Estimation ↗Weiquan Wang, Jun Xiao, Chunping Wang et al.1 citation
  92. Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? — A Theoretical and Empirical Study ↗Sangwon Jung, Sumin Yu, Sanghyuk Chun et al.1 citation
  93. Do Finetti: On Causal Effects for Exchangeable Data ↗Siyuan Guo, Chi Zhang, Karthika Mohan et al.1 citation
  94. Do's and Don'ts: Learning Desirable Skills with Instruction Videos ↗Hyunseung Kim, Byungkun Lee, Hojoon Lee et al.1 citation
  95. Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors ↗Jiashi Gao, Ziwei Wang, Xiangyu Zhao et al.1 citation
  96. DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning ↗Yuxuan Duan, Yan Hong, Bo Zhang et al.1 citation
  97. Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation ↗Yunlu Chen, Francisco Vicente Carrasco, Christian Häne et al.1 citation
  98. Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization ↗Ronak Mehta, Jelena Diakonikolas, Zaïd Harchaoui1 citation
  99. DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments ↗Zeyu Wang, Xiyuxing Zhang, Ruotong Yu et al.1 citation
  100. Dual Lagrangian Learning for Conic Optimization ↗Mathieu Tanneau, Pascal Van Hentenryck1 citation

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