NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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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
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Optimizing Retrieval for RAG via Reinforcement Learning
Jiawei Zhou, Lei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
RUIYAO MIAO, Junren Xiao, Shiya Tsang, Hui Xiong, Ying Nian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn, Heewoong Choi, Jisu Han, Taesup Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Oracle-Efficient Combinatorial Semi-Bandits
Jung-hun Kim, Milan Vojnovic, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning
Alexandre Oliveira, Katarina Dyreby, Francisco Caldas, Claudia Soares
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill, Brian Hill, Aria Masoomi, Vijay Nori, Robert E. Tillman, Jennifer Dy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Order-Level Attention Similarity Across Language Models: A Latent Commonality
Jinglin Liang, Jin Zhong, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Huifang Li, Lixin Fan, Hanlin Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Orient Anything V2: Unifying Orientation and Rotation Understanding
Zehan Wang, Ziang Zhang, Jiayang Xu, Jialei Wang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Orientation Matters: Making 3D Generative Models Orientation-Aligned
Yichong Lu, Yuzhuo Tian, Zijin Jiang, Yikun Zhao, Yuanbo Yang, Hao Ouyang, Haoji Hu, Huimin Yu, Yujun Shen, Yiyi Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
Junyi Wu, Jiachen Tao, Haoxuan Wang, Gaowen Liu, Ramana Kompella, Yan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Orochi: Versatile Biomedical Image Processor
Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
Tony Yousefnezhad
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
Juan Formanek, Omayma Mahjoub, Louay Nessir, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Daniel Rajaonarivonivelomanantsoa, Simon Du Toit, Arnol Fokam, Siddarth Singh, Ulrich Armel Mbou Sob, Felix Chalumeau, Arnu Pretorius
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Out-of-Distribution Detection with Relative Angles
Berker Demirel, Marco Fumero, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
Sibo Tian, Xin Wang, Zeyang Zhang, Haibo Chen, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
Fan Chen, Zeyu Jia, Alexander Rakhlin, Tengyang Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca, Jacob Bamberger, Cesare Alippi, Michael Bronstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Overcoming Challenges of Long-Horizon Prediction in Driving World Models
Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
Julian Minder, Clément Dumas, Caden Juang, Bilal Chughtai, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders
Ruixin Guo, Ruoming Jin, Xinyu Li, Yang Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
Kunyu Wang, Xueyang Fu, Yuanfei Bao, Chengjie Ge, Chengzhi Cao, Wei Zhai, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
Yiming Huang, Yajie Hao, Yuxuan Du, Jing Zhou, Xiao Yuan, Xiaoting Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer
Zhiwei Yang, Chen Gao, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
Seungyoo Lee, Giung Nam, Moonseok Choi, Hyungi Lee, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
Guilin Li, Yun Zhang, Xiuyuan Chen, Chengqi Li, Bo Wang, Linghe Kong, Wenjia Wang, Weiran Huang, Matthias Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models
Tianchen Zhao, Ke Hong, Xinhao Yang, Xuefeng Xiao, Huixia Li, Feng Ling, Ruiqi Xie, SiQi Chen, Hongyu Zhu, Zhang Yichong, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding
Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PASS: Path-selective State Space Model for Event-based Recognition
Jiazhou Zhou, Kanghao Chen, Lei Zhang, Lin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors
Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Niessner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
Mingyao Zhou, Hao Sun, Wei Xie, Ming Dong, Chengji Wang, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
Mingqi Wu, Qiang Sun, Archer Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling
Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage, Seungjun Lee, Noseong Park, Kookjin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PDPO: Parametric Density Path Optimization
Sebastian Gutierrez Hernandez, Peng Chen, Hao-Min Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
Hongyi Chen, Jianhai Shu, Jingtao Ding, Yong Li, Xiao-Ping (Steven) Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
Andrea Bonfanti, Ismael Medina, Roman List, Björn Staeves, Roberto Santana, Marco Ellero
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PINNs with Learnable Quadrature
Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting
Haobo Li, Eunseo Jung, Zixin CHEN, Zhaowei Wang, Yueya WANG, Huamin Qu, Alexis Lau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PIVNO: Particle Image Velocimetry Neural Operator
Xu Jie, Xuesong Zhang, Jing Jiang, Qinghua Cui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting
Changkun Liu, Bin Tan, Zeran Ke, Shangzhan Zhang, Jiachen Liu, Ming Qian, Nan Xue, Yujun Shen, Tristan Braud
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
Ejafa Bassam, Dawei Zhu, Kaigui Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
Yan Ru Pei, Olivier Coenen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
Xinghong Chen, Weilin Wu, Kunping Yang, Guannan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
ZhanFeng Feng, Long Peng, Xin Di, Yong Guo, Wenbo Li, Yulun Zhang, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
POCO: Scalable Neural Forecasting through Population Conditioning
Yu Duan, Hamza Chaudhry, Misha B Ahrens, Christopher Harvey, Matthew G Perich, Karl Deisseroth, Kanaka Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
WANG Yun, Junjie Hu, Qiaole Dong, Yongjian Zhang, Yanwei Fu, Tin Lun Lam, Dapeng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
Hilal Asi, Vitaly Feldman, Hannah Keller, Guy Rothblum, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
Ruiqi Wang, Dezhong Zhao, Ziqin Yuan, Tianyu Shao, Guohua Chen, Dominic Kao, Sungeun Hong, Byung-Cheol Min
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PROFIT: A Specialized Optimizer for Deep Fine Tuning
Anirudh Chakravarthy, Shuai Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure, Adam Auton, Aly A. Khan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
Zongqian Li, Yixuan Su, Nigel Collier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units
Masahiro Kato, Fumiaki Kozai, RYO INOKUCHI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PaTH Attention: Position Encoding via Accumulating Householder Transformations
Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
Hanzhen Zhao, Ding Shihong, Cong Fang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
Haoguang Lu, Jiacheng Chen, Zhenguo Yang, Aurele Gnanha, Fu Lee Wang, Qing Li, Xudong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pairwise Calibrated Rewards for Pluralistic Alignment
Daniel Halpern, Evi Micha, Ariel D Procaccia, Itai Shapira
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, Zixu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang, Xinghao Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains
Marianne Rakic, Siyu Gai, Etienne Chollet, John Guttag, Adrian Dalca
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space
Jinghong Zheng, Changlong Jiang, Yang Xiao, Jiaqi Li, Haohong Kuang, Hang Xu, Ran Wang, Zhiguo Cao, Min Du, Joey Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms
Yifei Xia, Shuchen Weng, Siqi Yang, Jingqi Liu, Chengxuan Zhu, Minggui Teng, Zijian Jia, Han Jiang, Boxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Panoptic Captioning: An Equivalence Bridge for Image and Text
Kun-Yu Lin, Hongjun Wang, Weining Ren, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parallel Scaling Law for Language Models
Mouxiang Chen, Binyuan Hui, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Jianling Sun, Junyang Lin, Zhongxin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
Mónika Farsang, Radu Grosu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parallelizing MCMC Across the Sequence Length
David Zoltowski, Skyler Wu, Xavier Gonzalez, Leo Kozachkov, Scott Linderman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parameter Dynamics of Online Machine Learning and Test-time Adaptation
Jae-Hong Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parameter Efficient Fine-tuning via Explained Variance Adaptation
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Deisenroth, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae, Doyun Choi, Jaehyun Lee, Jaemin Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parameter-free Algorithms for the Stochastically Extended Adversarial Model
Shuche Wang, Adarsh Barik, Peng Zhao, Vincent Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
Kyungjae Lee, Dohyeong Kim, Taehyun Cho, Chaeyeon Kim, Yunkyung Ko, Seungyub Han, Seokhun Ju, Dohyeok Lee, Sungbin Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu, Kaize Ding, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
Zechun Liu, Changsheng Zhao, Hanxian Huang, Sijia Chen, Jing Zhang, Jiawei Zhao, Scott Roy, Lisa Jin, Yunyang Xiong, Yangyang Shi, Lin Xiao, Yuandong Tian, Bilge Soran, Raghuraman Krishnamoorthi, Tijmen Blankevoort, Vikas Chandra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Parsimonious Predictions for Strategyproof Scheduling
Richard Cole, Anupam Gupta, Pranav Jangir
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
Dongkeun Kim, Minsu Cho, Suha Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers
Yuchen Lin, Chenguo Lin, Panwang Pan, Honglei Yan, Feng Yiqiang, Yadong Mu, Katerina Fragkiadaki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Partial Correlation Network Estimation by Semismooth Newton Methods
DongWon Kim, Sungdong Lee, Joong-Ho (Johann) Won
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
Wenyuan Zhao, Adithya Balachandran, Chao Tian, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
Qianxun Xu, Zuchuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
Qinglong Hu, Qingfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation
Guowei Wang, Fan Lyu, Changxing Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Vélez, Neil Bramley, Yanwei Wang, Tom Griffiths, Christopher G Lucas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Christian Walder, Deep Tejas Karkhanis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Path Gradients after Flow Matching
Lorenz Vaitl, Leon Klein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Path-Enhanced Contrastive Learning for Recommendation
Haoran Sun, Fei Xiong, Yuanzhe Hu, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Path-specific effects for pulse-oximetry guided decisions in critical care
Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang, Chenglu Zhu, Lin F. Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pattern-Guided Adaptive Prior for Structure Learning
Lyuzhou Chen, Yijia Sun, Yanze Gao, Xiangyu Wang, Derui Lyu, Taiyu Ban, Xin Wang, Xiren Zhou, Huanhuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers
Charles London, Varun Kanade
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pay Attention to Small Weights
chao zhou, Tom Jacobs, Advait Gadhikar, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）