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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。

2025 · NeurIPS
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang, Haoling Li, Zhong-Zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yeyun Gong, yelong shen, Yujiu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
Mingzhuo Lin, Jianping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
Weifeng Lin, Xinyu Wei, Ruichuan An, Tianhe Ren, Tingwei Chen, Renrui Zhang, Ziyu Guo, Wentao Zhang, Lei Zhang, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Perception Encoder: The best visual embeddings are not at the output of the network
Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Bangalath, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Shang-Wen Li, Piotr Dollar, Christoph Feichtenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Perception-R1: Pioneering Perception Policy with Reinforcement Learning
En Yu, Kangheng Lin, Liang Zhao, jisheng yin, Yana Wei, Yuang Peng, Haoran Wei, Jianjian Sun, Chunrui Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Jingyu Wang, Wenbing Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Jain, Miguel Martin, Huiyu Wang, Hanoona Bangalath, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Seungwhan Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman H Khan, Philipp Kraehenbuehl, Piotr Dollar, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Victor Li, Baiting Chen, Yuzhen Mao, Qi Lei, Zhun Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Performative Validity of Recourse Explanations
Gunnar König, Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike V. Luxburg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Periodic Skill Discovery
Jonghae Park, Daesol Cho, Jusuk Lee, Dongseok Shim, Inkyu Jang, H. Jin Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Permissioned LLMs: Enforcing Access Control in Large Language Models
Bargav Jayaraman, Virendra Marathe, Hamid Mozaffari, William Shen, Krishnaram Kenthapadi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation
Ting Wei, Biao Mei, Junliang Lyu, Renquan Zhang, Feng Zhou, Yifan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Yibo Zhao, Yang Zhao, Hongru Du, Hao Frank Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel, Mrinmaya Sachan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Federated Conformal Prediction with Localization
Yinjie Min, Chuchen Zhang, Liuhua Peng, Changliang Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
Connor Dunlop, Matthew Zheng, Kavana Venkatesh, Pinar Yanardag
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, Jose Hernandez-Orallo, Aylin Caliskan, Jindong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
Wei Zhuo, Zhaohuan Zhan, Han Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Personalized Visual Content Generation in Conversational Systems
Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
Tae-Young Lee, Juwon Seo, Jong Hwan Ko, Gyeong-Moon Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Perturbation Bounds for Low-Rank Inverse Approximations under Noise
Phuc Tran, Nisheeth K. Vishnoi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pessimistic Data Integration for Policy Evaluation
Xiangkun Wu, Ting Li, Gholamali Aminian, Armin Behnamnia, Hamid Rabiee, Chengchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
Lujian Yao, Siming Zheng, Xinbin Yuan, Zhuoxuan Cai, Pu Wu, Jinwei Chen, Bo Li, Peng-Tao Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
Chong Tang, Joseph Powell, Dirk Koch, Robert Mullins, Alex Weddell, Jagmohan Chauhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Chen Wang, Chuhao Chen, Yiming Huang, Zhiyang Dou, Yuan Liu, Jiatao Gu, Lingjie Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
Long Li, Wencheng Zhang, Shi Yuan, Hongle Guo, Wanghu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
Weijie Zhou, Xuantang Xiong, Yi Peng, Manli Tao, Chaoyang Zhao, Honghui Dong, Ming Tang, Jinqiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhysX-3D: Physical-Grounded 3D Asset Generation
Ziang Cao, Zhaoxi Chen, Liang Pan, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
Zeyuan Allen-Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
Utkarsh Utkarsh, Pengfei Cai, Alan Edelman, Rafael Gomez-Bombarelli, Christopher Rackauckas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
Shuhai Zhang, ZiHao Lian, Jiahao Yang, Daiyuan Li, Guoxuan Pang, Feng Liu, Bo Han, Shutao Li, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics-informed Neural Operator for Pansharpening
Xinyang Liu, Junming Hou, Chenxu Wu, Xiaofeng Cong, zihao chen, Shangqi Deng, Junling Li, Liang-Jian Deng, Bo Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher, Nigel Morris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
Vittorio Giammarino, Ruiqi Ni, Ahmed Qureshi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
Leslie Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
Yanlong Chen, Mattia Orlandi, Pierangelo Rapa, Simone Benatti, Luca Benini, Yawei Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services
Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova, Hamed Haddadi, Xiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pinpointing Attention-Causal Communication in Language Models
Gabriel Franco, Mark Crovella
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
Jiarui Fang, Jinzhe Pan, Aoyu Li, Xibo Sun, WANG Jiannan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
Haitian Zheng, Yuan Yao, yongsheng yu, Yuqian Zhou, Jiebo Luo, Zhe Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning
Alex Su, Haozhe Wang, Weiming Ren, Fangzhen Lin, Wenhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
Gangwei Xu, Haotong Lin, Hongcheng Luo, Xianqi Wang, JINGFENG YAO, Lianghui Zhu, Yuechuan Pu, Cheng Chi_, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Sida Peng, Xin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
Minglu Zhao, Dehong Xu, Deqian Kong, Wen-Hao Zhang, Ying Nian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PlanU: Large Language Model Reasoning through Planning under Uncertainty
Ziwei Deng, Mian Deng, Chenjing Liang, Zeming Gao, Chennan Ma, Chenxing Lin, Haipeng Zhang, Songzhu Mei, Siqi Shen, Cheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors
Xirui Jin, Renbiao Jin, Boying Li, Danping Zou, Wenxian Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Planning and Learning in Average Risk-aware MDPs
Weikai Wang, Erick Delage
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Planning with Quantized Opponent Models
XiaoPeng Yu, Kefan Su, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
Joey Hong, Anca Dragan, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Plasticity as the Mirror of Empowerment
David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PlayerOne: Egocentric World Simulator
Yuanpeng Tu, Hao Luo, Xi Chen, Xiang Bai, Fan Wang, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation
Changguang WU, Jiangxin Dong, Chengjian Li, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Plug-and-Play Context Feature Reuse for Efficient Masked Generation
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning
Ye Liu, Zihan Ji, Hongmin Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PoE-World: Compositional World Modeling with Products of Programmatic Experts
Top Piriyakulkij, Yichao Liang, Hao Tang, Adrian Weller, Marta Kryven, Kevin Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
Ziyan Wang, Sizhe Wei, Xiaoming Huo, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PoLAR: Polar-Decomposed Low-Rank Adapter Representation
Kai Lion, Liang Zhang, Bingcong Li, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PocketSR: The Super-Resolution Expert in Your Pocket Mobiles
Haoze Sun, Linfeng Jiang, Fan Li, Renjing Pei, Zhixin Wang, Yong Guo, Jiaqi Xu, Haoyu Chen, Jin Han, Fenglong Song, Yujiu Yang, Wenbo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Point Cloud Synthesis Using Inner Product Transforms
Ernst Röell, Bastian Rieck
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
Xingguang Wei, Haomin Wang, Shenglong Ye, Ruifeng Luo, Zhang, Lixin Gu, Jifeng Dai, Yu Qiao, Wenhai Wang, Hongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian, Shaoyi Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
Minheng Ni, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Kevin Lin, Wangmeng Zuo, Lijuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Yuqi Wu, Wenzhao Zheng, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
Jianyu Wang, Yu Wang, Shengjie Zhao, Sifan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu, Ziqiang Wang, Xinxin Zuo, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
Xiaogang Jia, Qian Wang, Anrui Wang, Han Wang, Balázs Gyenes, Emiliyan Gospodinov, Xinkai Jiang, Ge Li, Hongyi Zhou, Weiran Liao, Xi Huang, Maximilian Beck, Moritz Reuss, Rudolf Lioutikov, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PointTruss: K-Truss for Point Cloud Registration
Yue Wu, Jun Jiang, Yongzhe Yuan, Maoguo Gong, Qiguang Miao, Hao Li, Mingyang Zhang, wenping ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
Kejia Zhang, Keda TAO, Jiasheng Tang, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
Susav Shrestha, Bradley Settlemyer, Nikoli Dryden, Narasimha Reddy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration
Songhao Wu, Ang Lv, xiao feng, Yufei zhang, Xun Zhang, Guojun Yin, Wei Lin, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack, Wonje Choi, Honguk Woo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
Fivos Kalogiannis, Gabriele Farina
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Policy Optimized Text-to-Image Pipeline Design
Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
Sepehr Dehdashtian, Mashrur Mahmud Morshed, Jacob Seidman, Gaurav Bharaj, Vishnu Boddeti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
Vivek Gopalakrishnan, Neel Dey, Polina Golland
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Teng Hu, Zhentao Yu, Zhengguang Zhou, Jiangning Zhang, Yuan Zhou, Qinglin Lu, Ran Yi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Polyline Path Masked Attention for Vision Transformer
Zhongchen Zhao, Chaodong Xiao, Hui LIN, Qi Xie, Lei Zhang, Deyu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
Sofiane Ennadir, Levente Zólyomi, Oleg Smirnov, Tianze Wang, John Pertoft, Filip Cornell, Lele Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi, David E Carlson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
Qing Mao, Tianxin Huang, Yu Zhu, Jinqiu Sun, Yanning Zhang, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks
Yixuan Even Xu, Antoine Bosselut, Imanol Schlag
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Post Hoc Regression Refinement via Pairwise Rankings
Kevin Tirta Wijaya, Michael Sun, Minghao Guo, Hans-peter Seidel, Wojciech Matusik, Vahid Babaei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
Zhiyang Xun, Shivam Gupta, ecprice
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Power Lines: Scaling laws for weight decay and batch size in LLM pre-training
Shane Bergsma, Nolan Dey, Gurpreet Gosal, Gavia Gray, Daria Soboleva, Joel Hestness
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Practical Bayes-Optimal Membership Inference Attacks
Marcus Lassila, Johan Oestman, Khac-Hoang Ngo, Alexandre Graell i Amat
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Practical Kernel Selection for Kernel-based Conditional Independence Test
Wenjie Wang, Mingming Gong, Biwei Huang, James Bailey, Bo Han, Kun Zhang, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Practical and Effective Code Watermarking for Large Language Models
Zhimeng Guo, Minhao Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference
Álvaro Parafita, Tomas Garriga, Axel Brando, Francisco Cazorla
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
Junfei Zhou, Penglin Dai, Quanmin Wei, Bingyi Liu, Xiao Wu, Jianping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
Zhe Hu, Jing Li, Zhongzhu Pu, Hou Pong (Ken) Chan, Yu Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pre-Trained Policy Discriminators are General Reward Models
Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, haijun Lv, Demin Song, Songyang Gao, Chengqi Lyu, Enyu Zhou, Honglin Guo, Zhiheng Xi, Qipeng Guo, Wenwei Zhang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context
Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
Xiao Yu, Yan Fang, Yao Zhao, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Precise Asymptotics and Refined Regret of Variance-Aware UCB
Yingying Fan, Yuxuan Han, Jinchi Lv, Xiaocong Xu, Zhengyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Jing Zuo, Luoping Cui, Chuang Zhu, Yonggang Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Precise Information Control in Long-Form Text Generation
Jacqueline He, Howard Yen, Margaret Li, Stella Li, Zhiyuan Zeng, Weijia Shi, Yulia Tsvetkov, Danqi Chen, Pang Wei W Koh, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）