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NeurIPS

2022–2026 LIVE

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Machine Learning

2025 · 5,286 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

  1. 2025 · NeurIPS

    $O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

    Rahul Vaze, Abhishek Sinha

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2025 · NeurIPS

    $Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training

    Jin Peng Zhou, Kaiwen Wang, Jonathan Chang, Zhaolin Gao, Nathan Kallus, Kilian Q. Weinberger, Kianté Brantley, Wen Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2025 · NeurIPS

    $\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

    Lin Zhu, Yifeng Yang, Xinbing Wang, Qinying Gu, Nanyang Ye

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2025 · NeurIPS

    $\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

    Taehoon Yoon, Yunhong Min, Kyeongmin Yeo, Minhyuk Sung

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2025 · NeurIPS

    $\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning

    Simone Ricci, Niccolò Biondi, Federico Pernici, Ioannis Patras, Alberto Del Bimbo

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2025 · NeurIPS

    $\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data

    Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug

    Machine Learning

    日本大学: 関与なし(対象大学)

  7. 2025 · NeurIPS

    $\mu$PC: Scaling Predictive Coding to 100+ Layer Networks

    Francesco Innocenti, El Mehdi Achour, Christopher L Buckley

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2025 · NeurIPS

    $\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data

    Ruizhe Liu, Pei Zhou, Qian Luo, Li Sun, Jun CEN, Yibing Song, Yanchao Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2025 · NeurIPS

    $\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks

    Pei Zhou, Wanting Yao, Qian Luo, Xunzhe Zhou, Yanchao Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2025 · NeurIPS

    $\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer

    Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tianlong Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2025 · NeurIPS

    $\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning

    Xiaojun Guo, Ang Li, Yifei Wang, Stefanie Jegelka, Yisen Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2025 · NeurIPS

    $\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization

    Xijun Li, Jiexiang Yang, Jinghao Wang, Bo Peng, Jianguo Yao, Haibing Guan

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2025 · NeurIPS

    $\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power

    Hongyu Shen, Zhizhen Jane Zhao

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2025 · NeurIPS

    $\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation

    Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2025 · NeurIPS

    $i$MIND: Insightful Multi-subject Invariant Neural Decoding

    Zixiang Yin, Jiarui Li, Zhengming Ding

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2025 · NeurIPS

    1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

    Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2025 · NeurIPS

    1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering

    Yuheng Yuan, Qiuhong Shen, Xingyi Yang, Xinchao Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2025 · NeurIPS

    3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs

    Mehdi Makni, Xiang Meng, Rahul Mazumder

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2025 · NeurIPS

    3D Equivariant Visuomotor Policy Learning via Spherical Projection

    Boce Hu, Dian Wang, David Klee, Heng Tian, Xupeng Zhu, Haojie Huang, Robert Platt, Robin Walters

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2025 · NeurIPS

    3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction

    Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li, Daniel Rebain, Andrea Tagliasacchi

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2025 · NeurIPS

    3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion

    Junyi Wang, Yuze Wang, Wantong Duan, Meng Wang, Yue Qi

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2025 · NeurIPS

    3D Human Pose Estimation with Muscles

    Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong, John McPhee

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2025 · NeurIPS

    3D Interaction Geometric Pre-training for Molecular Relational Learning

    Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2025 · NeurIPS

    3D Visual Illusion Depth Estimation

    Chengtang Yao, Zhidan Liu, Jiaxi Zeng, Lidong Yu, Yuwei Wu, Yunde Jia

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2025 · NeurIPS

    3D-Agent: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

    jusheng zhang, Yijia Fan, Zimo Wen, Jian Wang, Keze Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2025 · NeurIPS

    3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding

    Chang Wu, ZHIYUAN LIU, Wen Shu, Liang Wang, Yanchen Luo, Wenqiang Lei, Yatao Bian, Junfeng Fang, Xiang Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2025 · NeurIPS

    3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes

    Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2025 · NeurIPS

    3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization

    Yuze Hao, Linchao Zhu, Yi Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2025 · NeurIPS

    3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model

    Wenbo Hu, Yining Hong, Yanjun Wang, Leison Gao, Zibu Wei, Xingcheng Yao, Nanyun Peng, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang

    Machine Learning

    日本大学: 関与なし(対象大学)

  30. 2025 · NeurIPS

    3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image

    Xiao Cao, Beibei Lin, Bo Wang, Zhiyong Huang, Robby Tan

    Machine Learning

    日本大学: 関与なし(対象大学)

  31. 2025 · NeurIPS

    3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation

    Yangshi Ge, Yiwei Bao, Feng Lu

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2025 · NeurIPS

    3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding

    Xiaohu Huang, Jingjing Wu, Qunyi Xie, Kai Han

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2025 · NeurIPS

    4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

    Ziqiao Ma, Xuweiyi Chen, Shoubin Yu, Sai Bi, Kai Zhang, Ziwen Chen, Sihan Xu, Jianing Yang, Zexiang Xu, Kalyan Sunkavalli, Mohit Bansal, Joyce Chai, Hao Tan

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2025 · NeurIPS

    4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration

    Jiahui Zhang, Yurui Chen, Yueming Xu, Ze Huang, Yanpeng Zhou, Yu-Jie Yuan, Xinyue Cai, Guowei Huang, Xingyue Quan, Hang Xu, Li Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2025 · NeurIPS

    4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

    Mengqi Guo, Bo Xu, Yanyan Li, Gim Hee Lee

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2025 · NeurIPS

    4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming

    Zihan Zheng, Zhenlong Wu, Houqiang Zhong, Yuan Tian, Ning Cao, Lan Xu, Jiangchao Yao, Xiaoyun Zhang, Qiang Hu, Wenjun Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2025 · NeurIPS

    4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos

    Zhen Xu, Zhengqin Li, Zhao Dong, Xiaowei Zhou, Richard Newcombe, Zhaoyang Lv

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2025 · NeurIPS

    4KAgent: Agentic Any Image to 4K Super-Resolution

    Yushen Zuo, Qi Zheng, Mingyang Wu, Xinrui Jiang, Renjie Li, Jian Wang, Yide Zhang, Gengchen Mai, Lihong Wang, James Y Zou, Xiaoyu Wang, Ming-Hsuan Yang, Zhengzhong Tu

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2025 · NeurIPS

    70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)

    Tianyi Zhang, Mohsen Hariri, Shaochen (Henry) Zhong, Vipin Chaudhary, Yang Sui, Xia Hu, Anshumali Shrivastava

    Machine Learning

    日本大学: 関与なし(対象大学)

  40. 2025 · NeurIPS

    A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data

    Dongguen Kim, Young-Geun Choi, Minwoo Chae

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2025 · NeurIPS

    A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning

    Yihuan Mao, Chongjie Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2025 · NeurIPS

    A Beyond-Worst-Case Analysis of Greedy k-means++

    Qingyun Chen, Sungjin Im, Ben Moseley, Ryan Milstrey, Chenyang Xu, Ruilong Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2025 · NeurIPS

    A Black-Box Debiasing Framework for Conditional Sampling

    Han Cui, Jingbo Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2025 · NeurIPS

    A CLT for Polynomial GNNs on Community-Based Graphs

    Luciano Vinas, Arash Amini

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2025 · NeurIPS

    A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference

    Harsh Parikh, Trang Nguyen, Elizabeth Stuart, Kara Rudolph, Caleb Miles

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2025 · NeurIPS

    A Circular Argument: Does RoPE need to be Equivariant for Vision?

    Chase van de Geijn, Timo Lüddecke, Polina Turishcheva, Alexander Ecker

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2025 · NeurIPS

    A Clean Slate for Offline Reinforcement Learning

    Matthew T. Jackson, Uljad Berdica, Jarek Liesen, Shimon Whiteson, Jakob Foerster

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2025 · NeurIPS

    A Closed-Form Solution for Fast and Reliable Adaptive Testing

    Yan Zhuang, Chenye Ke, Zirui Liu, Qi Liu, Yuting Ning, Zhenya Huang, Weizhe Huang, Qingyang Mao, Shijin Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2025 · NeurIPS

    A Closer Look at Graph Transformers: Cross-Aggregation and Beyond

    Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wu Wenning, Zhen Wang, Xiaochun Cao, Liang Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2025 · NeurIPS

    A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective

    Lianghe Shi, Meng Wu, Huijie Zhang, Zekai Zhang, Molei Tao, Qing Qu

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2025 · NeurIPS

    A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression

    Giuseppe Castiglione, Christopher L Buckley, Ivor Simpson

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2025 · NeurIPS

    A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities

    Han-Jia Ye, Si-Yang Liu, Wei-Lun (Harry) Chao

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2025 · NeurIPS

    A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study

    Yuanchao Dai, Zhengzhang Hou, Changchun Li, Yuanbo Xu, En Wang, Ximing Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2025 · NeurIPS

    A Compressive-Expressive Communication Framework for Compositional Representations

    Rafael Elberg, Felipe del Rio, Mircea Petrache, Denis Parra

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2025 · NeurIPS

    A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems

    Gokul Rajaraman, Debasish Chatterjee

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2025 · NeurIPS

    A Counterfactual Semantics for Hybrid Dynamical Systems

    Andy Zane, Dmitry Batenkov, Rafal Urbaniak, Jeremy Zucker, Sam Witty

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2025 · NeurIPS

    A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing

    Alex Clinton, Thomas Zeng, Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2025 · NeurIPS

    A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors

    Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2025 · NeurIPS

    A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning

    Daniel Tschernutter, David Diego Castro, Maciej Kasiński

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2025 · NeurIPS

    A Differential and Pointwise Control Approach to Reinforcement Learning

    Minh H. Nguyen, Chandrajit Bajaj

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2025 · NeurIPS

    A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking

    Gal Fadlon, Idan Arbiv, Nimrod Berman, Omri Azencot

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2025 · NeurIPS

    A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction

    Di Wen, Yu Wang, Zhigang Wu, Zhaocheng He, Zhe Wu, Zheng Qingfang

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2025 · NeurIPS

    A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement

    Linlin Fan, Xingyu Liu, Mingliang Zhou, Xuekai Wei, Weizhi Xian, Jielu Yan, Weijia Jia

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2025 · NeurIPS

    A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments

    Siyuan Wu, Yongzhe Jia, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Lianyong Qi, Wanchun Dou

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2025 · NeurIPS

    A Few Moments Please: Scalable Graphon Learning via Moment Matching

    Reza Ramezanpour, Victor Manuel Tenorio Gomez, Antonio G. Marques, Ashutosh Sabharwal, Santiago Segarra

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2025 · NeurIPS

    A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation

    Yang Peng, Kaicheng Jin, Liangyu Zhang, Zhihua Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2025 · NeurIPS

    A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1

    Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen

    Machine Learning

    日本大学: 東京大学

  68. 2025 · NeurIPS

    A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging

    Sajad Khodadadian, Martin Zubeldia

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2025 · NeurIPS

    A Generalist Intracortical Motor Decoder

    Joel Ye, Fabio Rizzoglio, Xuan Ma, Adam Smoulder, Hongwei Mao, Gary Blumenthal, William Hockeimer, Nicolas Kunigk, Dalton Moore, Patrick Marino, Raeed Chowdhury, J. Patrick Mayo, Aaron Batista, Steven Chase, Michael Boninger, Charles Greenspon, Andrew B Schwartz, Nicholas Hatsopoulos, Lee E. Miller, Kristofer Bouchard, Jennifer Collinger, Leila Wehbe, Robert A. Gaunt

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2025 · NeurIPS

    A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances

    Zongrui Zou, Chenglin Fan, Michael Dinitz, Jingcheng Liu, Jalaj Upadhyay

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2025 · NeurIPS

    A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications

    Zhenyu Tao, Wei Xu, Xiaohu You

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2025 · NeurIPS

    A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation

    Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2025 · NeurIPS

    A Geometric Analysis of PCA

    Ayoub El Hanchi, Murat A Erdogdu, Chris J Maddison

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2025 · NeurIPS

    A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models

    Yassine ABBAHADDOU, Amine Aboussalah

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2025 · NeurIPS

    A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models

    Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany, Eunseop Yoon, Chang D. Yoo

    Machine Learning

    日本大学: 関与なし(対象大学)

  76. 2025 · NeurIPS

    A Gradient Guided Diffusion Framework for Chance Constrained Programming

    Boyang Zhang, Zhiguo Wang, Ya-Feng Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2025 · NeurIPS

    A Hierarchy of Graphical Models for Counterfactual Inferences

    Hongshuo Yang, Elias Bareinboim

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2025 · NeurIPS

    A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning

    Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2025 · NeurIPS

    A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning

    Guan Zhe Hong, Nishanth Dikkala, Enming Luo, Cyrus Rashtchian, Xin Wang, Rina Panigrahy

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2025 · NeurIPS

    A Latent Multilayer Graphical Model For Complex, Interdependent Systems

    Martin Ondrus, Ivor Cribben, Yang Feng

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2025 · NeurIPS

    A Learning-Augmented Approach to Online Allocation Problems

    Ilan Cohen, Debmalya Panigrahi

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2025 · NeurIPS

    A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows

    Guansheng Peng, Lining Xing, Fuyan Ma, Aldy Gunawan, Guopeng Song, Pieter Vansteenwegen

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2025 · NeurIPS

    A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers

    Will Merrill, Ashish Sabharwal

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2025 · NeurIPS

    A Markov Decision Process for Variable Selection in Branch & Bound

    Paul STRANG, Zacharie ALES, Côme Bissuel, Olivier JUAN, Safia Kedad-Sidhoum, Emmanuel Rachelson

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2025 · NeurIPS

    A Minimalist Example of Edge-of-Stability and Progressive Sharpening

    Liming Liu, Zixuan Zhang, Simon S Du, Tuo Zhao

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2025 · NeurIPS

    A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks

    Xiaoxuan Gong, Jie Ma

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2025 · NeurIPS

    A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals

    Ziyu Jia, Tingyu Du, Zhengyu Tian, Hongkai Li, Yong Zhang, Chenyu Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2025 · NeurIPS

    A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization

    Hongxu Chen, Ke Wei, Haishan Ye, Luo Luo

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2025 · NeurIPS

    A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond

    Zicheng Hu, Cheng Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2025 · NeurIPS

    A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits

    Guo Zeng, Jean Honorio

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2025 · NeurIPS

    A Partition Cover Approach to Tokenization

    Jia Peng Lim, Shawn Tan, XianJun Davin Choo, Hady Lauw

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2025 · NeurIPS

    A Physics-preserved Transfer Learning Method for Differential Equations

    Hao-Ran Yang, Chuan-Xian Ren

    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2025 · NeurIPS

    A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers

    Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian

    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2025 · NeurIPS

    A Practical Guide for Incorporating Symmetry in Diffusion Policy

    Dian Wang, Boce Hu, Shuran Song, Robin Walters, Robert Platt

    Machine Learning

    日本大学: 関与なし(対象大学)

  95. 2025 · NeurIPS

    A Pre-training Framework for Relational Data with Information-theoretic Principles

    Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang

    Machine Learning

    日本大学: 関与なし(対象大学)

  96. 2025 · NeurIPS

    A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

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