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 ReasoningYizhen 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 SearchMingzhuo 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 VideosWeifeng 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 networkDaniel 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 LearningEn 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 UnderstandingJang 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 PerformativityVictor 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 ExplanationsGunnar 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 DiscoveryJonghae 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 ModelsLancheng 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 ModelsBargav 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 LearningTorben 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 AggregationTing 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 ReasoningYibo 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 TracingYilmazcan 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 LocalizationYinjie 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 OptimizationConnor 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 ApproachYuchen 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 ProjectionsWei 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 SystemsXianquan 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 ModelsTae-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 NoisePhuc 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 EvaluationXiangkun 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 RecommendationLujian 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 SensingYuezhou 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 ObservationChong 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 GenerationChen 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-OnShibin 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 DetectionLong 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 EnvironmentsWeijie 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 GenerationZiang 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 LayersZeyuan 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 ConstraintsUtkarsh 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 DetectionShuhai 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 PansharpeningXinyang 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 SolversNima 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 LearningVittorio 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 flowsLeslie 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 RepresentationYanlong 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 ConflictsZeman 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 ServicesGefei 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 ModelsGabriel 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 InferenceJiarui 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 RefinementHaitian 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 LearningAlex 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 TransformersGangwei 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 PlanningMinglu 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 UncertaintyZiwei 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 PriorsXirui 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 MDPsWeikai Wang, Erick Delage
Machine Learning
日本大学: 関与なし(対象大学)
2025 · NeurIPS
Planning with Quantized Opponent ModelsXiaoPeng 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 RLJoey 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 EmpowermentDavid 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 SimulatorYuanpeng 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 RepresentationChangguang 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 GenerationXuejie 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 LearningYe 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 ExpertsTop 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 GenerationZiyan 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 RepresentationKai 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 MobilesHaoze 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 TransformsErnst 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 DrawingsXingguang 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-trainingXiaoyang 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 FinetuningMinheng 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 MemoryYuqi 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 DetectionJianyu 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 CompletionLinlian 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 LearningXiaogang 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 RegistrationYue 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 LVMsKejia 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 SparsitySusav 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 AccelerationSonghao 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 InterfaceDaehee 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 GamesFivos 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 DesignUri 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 DetectorsSepehr 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 TransformationsVivek 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 EnhancementTeng 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 TransformerZhongchen 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 ModelsSofiane 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 AppearanceJack 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 SynthesisQing 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 RisksYixuan 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 RankingsKevin 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 DimensionalityKyeongwon 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 DynamicsZhiyang 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-trainingShane 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 AttacksMarcus 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 TestWenjie 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 ModelsZhimeng 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 InferenceÁlvaro 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 MechanismJunfei 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 LearningZhe 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 ModelsShihan 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-contextYijia 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 ModelingXiao 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 UCBYingying 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 ModelsJing 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 GenerationJacqueline 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)