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NeurIPS 2024: all accepted papers

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

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  1. Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences ↗Zhaoze Wang, Ronald W. DiTullio, Spencer Rooke et al.
  2. Time-Reversal Provides Unsupervised Feedback to LLMs ↗Yerram Varun, Rahul Madhavan, Sravanti Addepalli et al.
  3. Topic-Conversation Relevance (TCR) Dataset and Benchmarks ↗Yaran Fan, Jamie Pool, Senja Filipi et al.
  4. Topological obstruction to the training of shallow ReLU neural networks ↗Marco Nurisso, Pierrick Leroy, Francesco Vaccarino
  5. Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models ↗Weihang Xu, Maryam Fazel, Weihang Xu
  6. Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation ↗Zheng Zhang, Wei Song, Qi Liu et al.
  7. Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding ↗Alexis Bellot, Silvia Chiappa
  8. Towards Neuron Attributions in Multi-Modal Large Language Models ↗Junfeng Fang, Zongze Bi, Junfeng Fang et al.
  9. Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing ↗Peiran Dong, Bingjie Wang, Song Guo et al.
  10. Towards Stable Representations for Protein Interface Prediction ↗Ziqi Gao, Jia Li, Yu Li et al.
  11. Towards Unsupervised Model Selection for Domain Adaptive Object Detection ↗Hengfu Yu, Jinhong Deng, Wen Li et al.
  12. Towards Visual Text Design Transfer Across Languages ↗Yejin Choi, Jiwan Chung, Sumin Shim et al.
  13. Towards training digitally-tied analog blocks via hybrid gradient computation ↗Timothy Nest, Maxence Ernoult
  14. TrAct: Making First-layer Pre-Activations Trainable ↗Felix Petersen, Christian Borgelt, Stefano Ermon
  15. Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification ↗Enrique Nueve, Bo Waggoner, Dhamma Kimpara et al.
  16. Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning ↗Yeongbin Seo, Dongha Lee, Jinyoung Yeo
  17. Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear qπ-Realizability and Concentrability ↗Volodymyr Tkachuk, Gellért Weisz, Csaba Szepesvári
  18. Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning ↗Runqian Wang, Soumya Ghosh, David Cox et al.
  19. Transductive Learning is Compact ↗Julian Asilis, Siddartha Devic, Shaddin Dughmi et al.
  20. Transfer Learning for Latent Variable Network Models ↗Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee et al.
  21. Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization ↗Omar Montasser, Han Shao, Emmanuel A. Abbe
  22. Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models ↗Cong Shen, Kun Yang, Jing Yang et al.
  23. TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing ↗Junxi Xiao, Qinliang Su
  24. Truthful High Dimensional Sparse Linear Regression ↗Liyang Zhu, Amina Manseur, Meng Ding et al.
  25. Truthfulness of Calibration Measures ↗Nika Haghtalab, Mingda Qiao, Kunhe Yang et al.
  26. UGC: Universal Graph Coarsening ↗Mohit Kataria, Sandeep Kumar, Jayadeva Jayadeva
  27. UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond ↗Kun Zhou, Xinyu Lin, Zhonghang Liu et al.
  28. UQ-Guided Hyperparameter Optimization for Iterative Learners ↗Jiesong Liu, Feng Zhang, Jiawei Guan et al.
  29. USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset ↗Kiran Kumar Lekkala, Henghui Bao, Peixu Cai et al.
  30. Understanding Model Selection for Learning in Strategic Environments ↗Tinashe Handina, Eric Mazumdar
  31. Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective ↗Haixiang Sun, Ye Shi
  32. Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation ↗Kaike Zhang, Qi Cao, Yunfan Wu et al.
  33. Understanding and Minimising Outlier Features in Transformer Training ↗Bobby He, Lorenzo Noci, Daniele Paliotta et al.
  34. Unelicitable Backdoors via Cryptographic Transformer Circuits ↗Andis Draguns, Andrew Gritsevskiy, Sumeet Motwani et al.
  35. Unified Covariate Adjustment for Causal Inference ↗Yonghan Jung, Jin Wen Tian, Elias Bareinboim
  36. Unified Graph Augmentations for Generalized Contrastive Learning on Graphs ↗Jiaming Zhuo, Yintong Lu, Hui Ying Ning et al.
  37. Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling ↗Qiannan Zhang, Weishen Pan, Zilong Bai et al.
  38. Unified Lexical Representation for Interpretable Visual-Language Alignment ↗Yifan Li, Yikai Wang, Yanwei Fu et al.
  39. Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning ↗Junyan Liu, Yunfan Li, Ruosong Wang et al.
  40. Universal In-Context Approximation By Prompting Fully Recurrent Models ↗Aleksandar Petrov, Tom A. Lamb, Alasdair Paren et al.
  41. Universal Online Convex Optimization with 1 Projection per Round ↗Wenhao Yang, Wenhao Yang, Peng Zhao et al.
  42. Universal Rates for Active Learning ↗Steve Hanneke, Amin Karbasi, Shay Moran et al.
  43. Universal Sample Coding ↗Szymon Kobus, Tze-Yang Tung, Denız Gündüz
  44. Universality in Transfer Learning for Linear Models ↗Reza Ghane, Danil Akhtiamov, Babak Hassibi
  45. Unlock the Intermittent Control Ability of Model Free Reinforcement Learning ↗Jiashun Liu, Jianye Hao, Xiaotian Hao et al.
  46. Unlocking the Potential of Global Human Expertise ↗Elliot Meyerson, Olivier Francon, Darren Sargent et al.
  47. Unravelling in Collaborative Learning ↗Aymeric Capitaine, Étienne Boursier, Antoine Scheid et al.
  48. Unrolled denoising networks provably learn to perform optimal Bayesian inference ↗Aayush Karan, Kulin Shah, Sitan Chen et al.
  49. Unsupervised Discovery of Formulas for Mathematical Constants ↗Michael Shalyt, Uri Seligmann, Itay Beit Halachmi et al.
  50. Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation ↗Ruihao Xia, Yu Liang, Peng-Tao Jiang et al.
  51. Unsupervised Object Detection with Theoretical Guarantees ↗Marian Longa, João Henriques
  52. Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers ↗Siyu Chen, Heejune Sheen, Tianhao Wang et al.
  53. Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance ↗Yi‐Ting Chen, Jiazi Bu, Junchi Yan
  54. Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models ↗Ziyi Zhou, Xinwei Guo, Jiashi Gao et al.
  55. Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators ↗Yiyan Huang, Cheuk Leung, Siyi Wang et al.
  56. User-item fairness tradeoffs in recommendations ↗Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg
  57. Using Unity to Help Solve Reinforcement Learning ↗Connor M. Brennan, Andrew Williams, Omar Younis et al.
  58. Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training ↗Pihe Hu, Shaolong Li, Shaolong Li et al.
  59. Variance estimation in compound decision theory under boundedness ↗Subhodh Kotekal
  60. Variational Delayed Policy Optimization ↗Qingyuan Wu, Simon Zhan, Yixuan Wang et al.
  61. VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections ↗Roy Miles, Pradyumna Reddy, Ismail Elezi et al.
  62. Visual Data Diagnosis and Debiasing with Concept Graphs ↗Rwiddhi Chakraborty, Yinong Wang, Juan Gao et al.
  63. Visual Pinwheel Centers Act as Geometric Saliency Detectors ↗Haixin Zhong, Mingyi Huang, Wei Dai et al.
  64. Warm-starting Push-Relabel ↗Sami Davies, Sergei Vassilvitskii, Yuyan Wang
  65. Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes ↗Asaf Cassel, Aviv Rosenberg
  66. Weak Supervision Performance Evaluation via Partial Identification ↗Felipe Maia Polo, Subha Maity, Mikhail Yurochkin et al.
  67. Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models ↗Zhanhui Zhou, Jie Liu, Jie Liu et al.
  68. Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments ↗Mixue Xie, Shuang Li, Binhui Xie et al.
  69. Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning ↗Raffaele Paolino, Sohir Maskey, Pascal Welke et al.
  70. What Matters in Graph Class Incremental Learning? An Information Preservation Perspective ↗Jialu Li, Yu Wang, Pengfei Zhu et al.
  71. What do Graph Neural Networks learn? Insights from Tropical Geometry ↗Tuan Anh Pham, Vikas Garg
  72. What type of inference is planning? ↗Miguel Lázaro-Gredilla, Li Yang Ku, Kevin Murphy et al.
  73. When Is Inductive Inference Possible? ↗Lu Zhou
  74. When are dynamical systems learned from time series data statistically accurate? ↗Jeongjin Park, Nicole Yang, Nisha Chandramoorthy
  75. When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL ↗Lenart Treven, Bhavya Sukhija, Yarden As et al.
  76. Where Do Large Learning Rates Lead Us? ↗Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechnyy et al.
  77. Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) ↗Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi et al.
  78. Wide Two-Layer Networks can Learn from Adversarial Perturbations ↗Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
  79. WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena ↗Haipeng Luo, Qingfeng Sun, Can Xu et al.
  80. Worst-Case Offline Reinforcement Learning with Arbitrary Data Support ↗Kohei Miyaguchi
  81. Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads ↗Avelina Hadji-Kyriacou, Ognjen Arandjelović
  82. X-Ray: A Sequential 3D Representation For Generation ↗Tao Hu, Wenhang Ge, Yuyang Zhao et al.
  83. YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals ↗Sandeep Mishra, Oindrila Saha, Alan Conrad Bovik
  84. ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving ↗Tao Ma, Hongbin Zhou, Qiusheng Huang et al.
  85. Zero-Shot Reinforcement Learning from Low Quality Data ↗Scott Jeen, Tom Bewley, Jonathan M. Cullen
  86. Zero-Shot Transfer of Neural ODEs ↗Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
  87. Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion ↗Ye He, Kevin Rojas, Molei Tao
  88. e-COP : Episodic Constrained Optimization of Policies ↗Akhil Agnihotri, Rahul Jain, Deepak Ramachandran et al.
  89. eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling ↗Matthew Dowling, Yuan Zhao, Il Memming Park
  90. einspace: Searching for Neural Architectures from Fundamental Operations ↗Linus Ericsson, Miguel Espinosa, Chenhongyi Yang et al.
  91. pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization ↗Matthew C Bendel, R. Badlishah Ahmad, Philip Schniter
  92. realSEUDO for real-time calcium imaging analysis ↗Iuliia Dmitrieva, Sergey Babkin, Adam S. Charles
  93. ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise ↗Jialiang Wang, Xiong Zhou, Deming Zhai et al.
  94. μP²: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling ↗Moritz Haas, Jin Xu, Volkan Cevher et al.

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