Elamur Research⌕
☰
home / venues / NeurIPS / 2025 / papers / page 46

NeurIPS 2025: all accepted papers

5,819 papers · page 46 of 59 · the most cited first · ← NeurIPS 2025

1 … 40 … 45 46 47 … 50 … 59

  1. PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning ↗Zongqian Li, Yixuan Su, Nigel Collier
  2. PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units ↗Masahiro Kato, Fumiaki Kozai, RYO INOKUCHI
  3. PaTH Attention: Position Encoding via Accumulating Householder Transformations ↗Songlin Yang, Yikang Shen, Kaiyue Wen et al.
  4. PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding ↗Kangcong Li, Peng Ye, Chongjun Tu et al.
  5. Pairwise Calibrated Rewards for Pluralistic Alignment ↗Daniel Halpern, Evi Micha, Ariel D. Procaccia et al.
  6. Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model ↗Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang et al.
  7. Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables ↗Zhongnan Cai, Yingying Wang, Hui Zheng et al.
  8. Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation ↗Yibo Wang, Tiansheng Huang, Li Shen et al.
  9. Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains ↗Marianne Rakic, Siyu Gai, Etienne Chollet et al.
  10. PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space ↗Jinghong Zheng, Changlong Jiang, Yang Xiao et al.
  11. Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling ↗Mónika Farsang, Radu Grosu
  12. Parallelizing MCMC Across the Sequence Length ↗David M. Zoltowski, Skyler Wu, Xavier Gonzalez et al.
  13. ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation ↗Pengcheng Huang, Zhenghao Liu, Yukun Yan et al.
  14. Parameter Dynamics of Online Machine Learning and Test-time Adaptation ↗Jae-Hong Lee
  15. Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification ↗Chaewoon Bae, Doyun Choi, Jaehyun Lee et al.
  16. Parameter-free Algorithms for the Stochastically Extended Adversarial Model ↗Shuche Wang, Adarsh Barik, Peng Zhao et al.
  17. Parameterized Synthetic Text Generation with SimpleStories ↗Lennart Finke, Chandan Sreedhara, Thomas Dooms et al.
  18. Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards ↗Kyungjae Lee, Dohyeong Kim, Taehyun Cho et al.
  19. Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies ↗Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu et al.
  20. Parsimonious Predictions for Strategyproof Scheduling ↗Richard J. Cole, Anupam Gupta, Pranav Jangir
  21. Partial Correlation Network Estimation by Semismooth Newton Methods ↗DongWon Kim, Sungdong Lee, Joong‐Ho Won
  22. Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction ↗Qianxun Xu, Zuchuan Li
  23. Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation ↗Guowei Wang, Fan Lyu, Changxing Ding
  24. Partner Modelling Emerges in Recurrent Agents (But Only When It Matters) ↗Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski et al.
  25. Path-Enhanced Contrastive Learning for Recommendation ↗Haoran Sun, Fei Xiong, Yuanzhe Hu et al.
  26. Path-specific effects for pulse-oximetry guided decisions in critical care ↗Kevin Zhang, Yonghan Jung, Divyat Mahajan et al.
  27. Pattern-Guided Adaptive Prior for Structure Learning ↗Lyuzhou Chen, Yijia Sun, Yanze Gao et al.
  28. Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers ↗Charles London, Varun Kanade
  29. Pay Attention to Small Weights ↗chao zhou, Tom Jacobs, Advait Gadhikar et al.
  30. PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning ↗Yizhen Zhang, Yang Ding, Shuoshuo Zhang et al.
  31. Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity ↗Victor Li, Baiting Chen, Yuzhen Mao et al.
  32. Periodic Skill Discovery ↗Jonghae Park, Daesol Cho, Jusuk Lee et al.
  33. PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models ↗Lancheng Zou, Shuo Yin, Zehua Pei et al.
  34. Permissioned LLMs: Enforcing Access Control in Large Language Models ↗Bargav Jayaraman, Virendra J. Marathe, Hamid Mozaffari et al.
  35. Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning ↗Torben Berndt, Benjamin Walker, Tiexin Qin et al.
  36. Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation ↗Ting Wei, Biao Mei, Junliang Lyu et al.
  37. Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing ↗Yılmazcan Özyurt, Tunaberk Almaci, Stefan Feuerriegel et al.
  38. Personalized Federated Conformal Prediction with Localization ↗Yinjie Min, Chuchen Zhang, Liuhua Peng et al.
  39. Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections ↗Wei Zhuo, Zhaohuan Zhan, Han Yu
  40. Personalized Visual Content Generation in Conversational Systems ↗Xianquan Wang, Zhaocheng Du, Huibo Xu et al.
  41. Perturbation Bounds for Low-Rank Inverse Approximations under Noise ↗Phuc Tran, Nisheeth K. Vishnoi
  42. Pessimistic Data Integration for Policy Evaluation ↗Xiangkun Wu, Ting Li, Gholamali Aminian et al.
  43. Photography Perspective Composition: Towards Aesthetic Perspective Recommendation ↗Lujian Yao, Siming Zheng, Xinbin Yuan et al.
  44. PhySense: Sensor Placement Optimization for Accurate Physics Sensing ↗Yuxin Ma, Haixu Wu, Hang Zhou et al.
  45. PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors ↗Yimeng Chen, Piotr Piękos, Mateusz Ostaszewski et al.
  46. PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments ↗Weijie Zhou, Xuantang Xiong, Peng Yi et al.
  47. Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers ↗Zeyuan Allen-Zhu
  48. Physics-informed Neural Operator for Pansharpening ↗Xinyang Liu, Junming Hou, Chenxu Wu et al.
  49. Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers ↗Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher et al.
  50. Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning ↗Vittorio Giammarino, Ruiqi Ni, Ahmed H. Qureshi
  51. Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows ↗Leslie Hwang
  52. Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services ↗Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.
  53. Pinpointing Attention-Causal Communication in Language Models ↗Gabriel Franco, Mark E. Crovella
  54. Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning ↗Minglu Zhao, Dehong Xu, Deqian Kong et al.
  55. PlanU: Large Language Model Reasoning through Planning under Uncertainty ↗Ziwei Deng, Mian Deng, Chenjing Liang et al.
  56. Planning with Quantized Opponent Models ↗XiaoPeng Yu, Kefan Su, Zongqing Lu
  57. Plasticity as the Mirror of Empowerment ↗David Lynn Abel, Michael Bowling, André da Motta Salles Barreto et al.
  58. Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation ↗Changguang WU, Jiangxin Dong, Chengjian Li et al.
  59. Plug-and-Play Context Feature Reuse for Efficient Masked Generation ↗Xuejie Liu, Anji Liu, Guy Van den Broeck et al.
  60. Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning ↗Ye Liu, Zihan Ji, Hongmin Cai
  61. PoE-World: Compositional World Modeling with Products of Programmatic Experts ↗Wasu Top Piriyakulkij, Yichao Liang, Hao Tang et al.
  62. PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation ↗Ziyan Wang, Sizhe Wei, Xiaoming Huo et al.
  63. PocketSR: The Super-Resolution Expert in Your Pocket Mobiles ↗Haoze Sun, L. Jiang, Fan Li et al.
  64. Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training ↗Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
  65. Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection ↗Jianyu Wang, Yu Wang, Shengjie Zhao et al.
  66. PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning ↗Xiaogang Jia, Qian Wang, Anrui Wang et al.
  67. PointTruss: K-Truss for Point Cloud Registration ↗Yue Wu, Jun Jiang, Yongzhe Yuan et al.
  68. Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity ↗Susav Shrestha, Brad Settlemyer, Nikoli Dryden et al.
  69. PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration ↗Songhao Wu, Ang Lv, xiao feng et al.
  70. Policy Compatible Skill Incremental Learning via Lazy Learning Interface ↗Daehee Lee, Dong Su Lee, TaeYoon Kwack et al.
  71. Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games ↗Fivos Kalogiannis, Gabriele Farina
  72. Policy Optimized Text-to-Image Pipeline Design ↗Uri Gadot, Rinon Gal, Yftah Ziser et al.
  73. PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors ↗Sepehr Dehdashtian, Mashrur M. Morshed, Jacob H. Seidman et al.
  74. Polyline Path Masked Attention for Vision Transformer ↗Zhongchen Zhao, Chaodong Xiao, Hui LIN et al.
  75. Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance ↗Jack Goffinet, Youngjo Min, Carlo Tomasi et al.
  76. PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis ↗Qing Mao, Tianxin Huang, Yu Zhu et al.
  77. Position: Bridge the Gaps between Machine Unlearning and AI Regulation ↗Bill Marino, Meghdad Kurmanji, Nicholas D. Lane
  78. Position: If Innovation in AI systematically Violates Fundamental Rights, Is It Innovation at All? ↗Josu Andoni Eguíluz Castañeira, Axel Brando, Migle Laukyte et al.
  79. Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track ↗Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch et al.
  80. Position: Require Frontier AI Labs To Release Small "Analog" Models ↗Shriyash Upadhyay, Philip Quirke, Narmeen Fatimah Oozeer et al.
  81. Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks ↗Yixuan Xu, Antoine Bosselut, Imanol Schlag
  82. Post Hoc Regression Refinement via Pairwise Rankings ↗Kevin Tirta Wijaya, Michael Sun, Minghao Guo et al.
  83. Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality ↗Kyeongwon Lee, Lizhen Lin, Jaewoo Park et al.
  84. Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics ↗Zhiyang Xun, Shivam Gupta, Eric Price
  85. Power Lines: Scaling laws for weight decay and batch size in LLM pre-training ↗Shane Bergsma, Nolan Dey, Gurpreet Gosal et al.
  86. Practical Bayes-Optimal Membership Inference Attacks ↗Marcus Lassila, Johan Oestman, Khac–Hoang Ngo et al.
  87. Practical Kernel Selection for Kernel-based Conditional Independence Test ↗Wenjie Wang, Mingming Gong, Biwei Huang et al.
  88. Practical and Effective Code Watermarking for Large Language Models ↗Zhimeng Guo, Minhao Cheng
  89. Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference ↗Álvaro Parafita, Tomàs Grau Garriga, Axel Brando et al.
  90. Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning ↗Zhe Min Hu, Jing Li, Zhongzhu Pu et al.
  91. Pre-Trained Policy Discriminators are General Reward Models ↗Shihan Dou, Shichun Liu, Yuming Yang et al.
  92. PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling ↗Xiao Jin Yu, Yan Fang, Yao Zhao et al.
  93. Precise Asymptotics and Refined Regret of Variance-Aware UCB ↗Yingying Fan, Yuxuan Han, Jinchi Lv et al.
  94. Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models ↗Jing Zuo, Luoping Cui, Chuang Zhu et al.
  95. Precise Information Control in Long-Form Text Generation ↗Jacqueline He, Howard Yen, Margaret Li et al.
  96. Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems ↗Lorenzo Baldassari, Josselin C. Garnier, Knut Sølna et al.
  97. Predictability Enables Parallelization of Nonlinear State Space Models ↗Xavier Gonzalez, Leo Kozachkov, David M. Zoltowski et al.
  98. Predictable Scale (Part II) — Farseer: A Refined Scaling Law in LLMs ↗Houyi Li, Wenzhen Zheng, Qiufeng Wang et al.
  99. Predicting Empirical AI Research Outcomes with Language Models ↗Jiaxin Wen, Chenglei Si, Yueh-Han Chen et al.
  100. Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks ↗Alexander S. Ratzan, Sidharth Goel, Junhao Wen et al.

1 … 40 … 45 46 47 … 50 … 59

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/46/