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NeurIPS 2025: all accepted papers

5,819 papers · page 54 of 59 · the most cited first · ← NeurIPS 2025

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  1. TAI3: Testing Agent Integrity in Interpreting User Intent ↗Shiwei Feng, Xiangzhe Xu, Xuan Chen et al.
  2. TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction ↗Zhongyi Yu, Jianqiu Wu, Zhenghao Wu et al.
  3. TANDEM: Bi-Level Data Mixture Optimization with Twin Networks ↗Jiaxing Wang, Deping Xiang, Jin Xu et al.
  4. TAPAS: Datasets for Learning the Learning with Errors Problem ↗Eshika Saxena, Alberto Alfarano, François Charton et al.
  5. TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video ↗Finlay G. C. Hudson, James Gardner, William A. P. Smith
  6. TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE ↗Jiawen Wei, jiang lan, Pengbo Wei et al.
  7. TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine ↗Jiacheng Xie, Yang Yu, Ziyang Zhang et al.
  8. TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles ↗Yaoyao Xu, Di Wang, Zihan Zhou et al.
  9. TF-MAS: Training-free Mamba2 Architecture Search ↗Yi Fan, Yu-Bin Yang
  10. TGA: True-to-Geometry Avatar Dynamic Reconstruction ↗Bo Guo, Sijia Wen, Ziwei Wang et al.
  11. TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising ↗J. T. Fry, Xinyi Hope Fu, Z. Fu et al.
  12. TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning ↗Xudong Yan, Songhe Feng
  13. TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding ↗Shukai Gong, Yiyang Fu, Fengyuan Ran et al.
  14. TRACE: Contrastive learning for multi-trial time series data in neuroscience ↗Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm et al.
  15. TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval ↗Jialin Chen, Ziyu Zhao, Gaukhar Nurbek et al.
  16. TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence ↗Feng Jiang, Mangal Prakash, Hehuan Ma et al.
  17. TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses ↗Sahar Dastani, Ali Bahri, Gustavo A. Vargas Hakim et al.
  18. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition ↗Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.
  19. TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks ↗Xiang Meng, Mehdi Makni, Rahul Mazumder
  20. Table as a Modality for Large Language Models ↗Liyao Li, Chao Ye, Wentao Ye et al.
  21. Tackling Biased Evaluators in Dueling Bandits ↗Ming Tang, Yuxuan Zhou, Chao Huang
  22. Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces ↗Jifeng Hu, Sili Huang, Li Chun Shen et al.
  23. Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation ↗Xinghao Wu, Xuefeng Liu, Jianwei Niu et al.
  24. TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models ↗Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.
  25. Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras ↗Lingdong Kong, Dongyue Lu, Ao Liang et al.
  26. Taming Adversarial Constraints in CMDPs ↗Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.
  27. Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining ↗Weiyi Wang, Junwei Deng, Yuzheng Hu et al.
  28. Taming generative video models for zero-shot optical flow extraction ↗Seungwoo Kim, Khai Loong Aw, Klemen Kotar et al.
  29. Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models ↗Nicolas Le Roux, Marc G. Bellemare, Jonathan Lebensold et al.
  30. Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments ↗Shitong Xu, Yiyuan Yang, Niki Trigoni et al.
  31. Targeted Maximum Likelihood Learning: An Optimization Perspective ↗Diyang Li, Kyra Gan
  32. Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain ↗Trinity Chung, Yuchen Shen, Nathan C. L. Kong et al.
  33. Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack ↗Yukun Chen, Boheng Li, Yu Han Yuan et al.
  34. Taxonomy of reduction matrices for Graph Coarsening ↗Antonin Joly, Nicolas Keriven, Aline Roumy
  35. Teaching Language Models to Reason with Tools ↗C. N Li, Zhengyang Tang, Zhao Li et al.
  36. Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error ↗Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos
  37. Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context ↗Taejong Joo, Diego Klabjan
  38. TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs ↗Yunheng Li, Jing Cheng, Shaoyong Jia et al.
  39. Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes ↗Itamar Harel, Yonathan Wolanowsky, Gal Vardi et al.
  40. Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models ↗Kinam Kim, Junha Hyung, Jaegul Choo
  41. Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following ↗Vivek Myers, Bill Zheng, Anca Dragan et al.
  42. Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting ↗Hyeongmin Lee, Kyungjune Baek
  43. Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations ↗Yuchao Lin, Cong Fu, Zachary Krueger et al.
  44. TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search ↗Akash Kundu, Stefano Mangini
  45. Test Time Scaling for Neural Processes ↗Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.
  46. Text to Sketch Generation with Multi-Styles ↗Tengjie Li, Shikui Tu, Lei Xu
  47. Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders ↗Qiming Hu, Linlong Fan, Yiyan Luo et al.
  48. The Adaptive Complexity of Minimizing Relative Fisher Information ↗Huanjian Zhou, Masashi Sugiyama
  49. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements ↗Bingchen Zhao, Despoina Magka, Minqi Jiang et al.
  50. The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective ↗Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub et al.
  51. The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective ↗Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee et al.
  52. The Burden of Interactive Alignment with Inconsistent Preferences ↗Ali Shirali
  53. The Complexity of Correlated Equilibria in Generalized Games ↗Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.
  54. The Complexity of Finding Local Optima in Contrastive Learning ↗Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis et al.
  55. The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games ↗Ioannis Anagnostides, Ioannis Panageas, Tüomas Sandholm et al.
  56. The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets ↗Yatin Dandi, Luca Pesce, Lenka Zdeborová et al.
  57. The Computational Complexity of Counting Linear Regions in ReLU Neural Networks ↗Moritz Stargalla, Christoph Hertrich, Daniel Reichman
  58. The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for 2 Norm Estimation ↗Sara Ahmadian, Edith Cohen, Uri Stemmer
  59. The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets ↗Yujun Kim, Chaewon Moon, Chulhee Yun
  60. The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation ↗Haoyu Wang, Wei Dai, Jiawei Zhang et al.
  61. The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model ↗Kaito Takanami, T. Takahashi, Ayaka Sakata
  62. The Flood Complex: Large-Scale Persistent Homology on Millions of Points ↗Florian Gräf, Paolo Pellizzoni, Martin Uray et al.
  63. The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization ↗Yihua Zhang, Changsheng Wang, Yiwei Chen et al.
  64. The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction ↗Huming Qiu, Zhaoxiang Wang, Mi Zhang et al.
  65. The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches ↗Omri Lev, Vishwak Srinivasan, Moshe Shenfeld et al.
  66. The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models ↗Alex Damian, Jason D. Lee, Joan Bruna
  67. The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses ↗Greg Gluch, Berkant Turan, Sai Ganesh Nagarajan et al.
  68. The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis ↗Hoang Pham, The Anh Ta, Tom Jacobs et al.
  69. The Impact of Coreset Selection on Spurious Correlations and Group Robustness ↗Amaya Dharmasiri, William E. Yang, Polina Kirichenko et al.
  70. The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels ↗Yonatan Slutzky, Yotam Alexander, Noam Razin et al.
  71. The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics ↗Marco Sälzer, Przemysław Andrzej Wałęga, Martin Lange
  72. The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs? ↗Hao Yin, Guangzong Si, Zilei Wang
  73. The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models ↗Alessandro Serra, Francesco Ortu, Emanuele Panizon et al.
  74. The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability? ↗Denis Sutter, Julian Minder, Thomas Hofmann et al.
  75. The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks ↗Vittorio Erba, Emanuele Troiani, Lenka Zdeborová et al.
  76. The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model ↗Sohini Saha, Mezisashe Ojuba, Leslie Collins et al.
  77. The Parameterized Complexity of Computing the VC-Dimension ↗Florent Foucaud, Harmender Gahlawat, Fionn Mc Inerney et al.
  78. The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination ↗Adam R. Klivans, Konstantinos Stavropoulos, Kevin Tian et al.
  79. The Price of Opportunity Fairness in Matroid Allocation Problems ↗Rémi Castera, Felipe Garrido-Lucero, Patrick Loiseau et al.
  80. The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements ↗Youssef Chaabouni, David Gamarnik
  81. The Primacy of Magnitude in Low-Rank Adaptation ↗Zicheng Zhang, Haoran Li, Yifeng Zhang et al.
  82. The Promise of RL for Autoregressive Image Editing ↗Saba Ahmadi, Rabiul Awal, Ankur Sikarwar et al.
  83. The Quest for Universal Master Key Filters in DS-CNNs ↗Zahra Babaiee, Peyman M. Kiasari, Daniela L. Rus et al.
  84. The Quotient Bayesian Learning Rule ↗Mykola Lukashchuk, Raphaël Trésor, Wouter W. L. Nuijten et al.
  85. The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity ↗Ethan Hsu, Tony Cao, Lesia Semenova et al.
  86. The Rich and the Simple: On the Implicit Bias of Adam and SGD ↗Bhavya Vasudeva, Jung Lee, Vatsal Sharan et al.
  87. The Right to Red-Team: Adversarial AI Literacy as a Civic Imperative in K-12 Education ↗Devan Walton, Haesol Bae
  88. The Rise of Parameter Specialization for Knowledge Storage in Large Language Models ↗Yihuai Hong, Yiran Zhao, Wei Tang et al.
  89. The Structural Complexity of Matrix-Vector Multiplication ↗Emile Anand, Jan van den Brand, Rose McCarty
  90. The Structure of Relation Decoding Linear Operators in Large Language Models ↗Miranda Anna Christ, Adrián Csiszárik, Gergely Becsó et al.
  91. The Temporal Graph of Bitcoin Transactions ↗Vahid Jalili
  92. The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples ↗Hsiang Hsu, Pradeep Niroula, Zichang He et al.
  93. The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis ↗Alex Lewandowski, Aditya Ramesh, Edan Meyer et al.
  94. The quest for the GRAph Level autoEncoder (GRALE) ↗Paul Krzakala, Gabriel Melo, Charlotte Laclau et al.
  95. The third pillar of causal analysis? A measurement perspective on causal representations ↗Dingling Yao, Shimeng Huang, Riccardo Cadei et al.
  96. The φ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control ↗Yichen Wang, Yudong Chen, Lorenzo Rosasco et al.
  97. Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms ↗Alistair Benford, Per Kristian Lehre
  98. Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization ↗Yusu Hong, Junhong Lin
  99. Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach ↗Haiyun He, Yepeng Liu, Ziqiao Wang et al.
  100. Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens ↗Xixian Yong, Xiao Zhou, Yingying Zhang et al.

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