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。

2025 · NeurIPS
RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers
Yan Gong, Yiren Song, Yicheng Li, Chenglin Li, Yin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering
Clément Yvernes, Emilie Devijver, Adèle Ribeiro, Marianne Clausel, Eric Gaussier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang, Prateek Mittal, Aleksandra Korolova
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
Chaeyun Jang, Deukhwan Cho, Seanie Lee, Hyungi Lee, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
Qiang Zhang, Fanrui Zhang, Jiawei Liu, Ming Hu, Junjun He, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reliably detecting model failures in deployment without labels
Viet Nguyen, Changjian Shui, Vijay Giri, Siddharth Arya, Amol Verma, Fahad Razak, Rahul G Krishnan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Relieving the Over-Aggregating Effect in Graph Transformers
Junshu Sun, Wanxing Chang, Chenxue Yang, Qingming Huang, Shuhui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Remarkable Robustness of LLMs: Stages of Inference?
Vedang Lad, Jin Hwa Lee, Wes Gurnee, Max Tegmark
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Remasking Discrete Diffusion Models with Inference-Time Scaling
Guanghan Wang, Yair Schiff, Subham Sahoo, Volodymyr Kuleshov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Removing Concepts from Text-to-Image Models with Only Negative Samples
Hanwen Liu, Yadong Mu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rendering-Aware Reinforcement Learning for Vector Graphics Generation
Juan Rodriguez, Haotian Zhang, Abhay Puri, Rishav Pramanik, Aarash Feizi, Pascal Wichmann, Arnab Mondal, Mohammad R. Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba, David Vazquez, Chris Pal, Marco Pedersoli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
Chenxu Niu, Jie M. Zhang, Yanbing Liu, Yunpeng Li, Jinta Weng, Yue Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
Boyuan Cao, Jiaxin Ye, Yujie Wei, Hongming Shan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reparameterized LLM Training via Orthogonal Equivalence Transformation
Zeju Qiu, Simon Buchholz, Tim Xiao, Maximilian Dax, Bernhard Schölkopf, Weiyang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization
Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Replicable Distribution Testing
Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Sihan Liu, Christopher Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Replicable Online Learning
Saba Ahmadi, Siddharth Bhandari, Avrim Blum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Replicable Online pricing
Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari, Samira Goudarzi, MohammadTaghi Hajiaghayi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Repo2Run: Automated Building Executable Environment for Code Repository at Scale
Ruida Hu, Chao Peng, XinchenWang, Junjielong Xu, Cuiyun Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving
Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Yuntao Du, Pin Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Representation Consistency for Accurate and Coherent LLM Answer Aggregation
Junqi Jiang, Tom Bewley, Salim I. Amoukou, Francesco Leofante, Antonio Rago, Saumitra Mishra, Francesca Toni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, jian Yang, Ming-Ming Cheng, Xiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
Pei Peng, Ming-Kun Xie, Hang Hao, Tong Jin, Sheng-Jun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
Nianzu Yang, Songlin Jiang, Jian Ma, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack, Yash Belhe, Priyanka Nagasamudra, Nicholas Antipa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rescaled Influence Functions: Accurate Data Attribution in High Dimension
Ittai Rubinstein, Samuel Hopkins
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
Guillaume Vray, Devavrat Tomar, Xufeng Gao, Jean-Philippe Thiran, Evan Shelhamer, Behzad Bozorgtabar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Residual Stream Analysis of Overfitting And Structural Disruptions
Quan Liu, Han Zhou, Wenquan Wu, Hua Wu, Sen Su
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Resolution of Simpson's paradox via the common cause principle
Arshak Hovhannisyan, Armen Allahverdyan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Resounding Acoustic Fields with Reciprocity
Zitong Lan, Yiduo Hao, Mingmin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Resource-Constrained Federated Continual Learning: What Does Matter?
Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais, Serge Belongie, Anjan Dutta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
Timo Kaufmann, Yannick Metz, Daniel Keim, Eyke Hüllermeier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
Jixuan He, Chieh Lin, Lu Qi, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Restoring Pruned Large Language Models via Lost Component Compensation
Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Tianjiao Li, Chua Deryl, Lee Onn Mak, Gee Ng, Kezhi Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
Jingyuan Zhang, Xin Wang, Lei Yu, Zhirong Huang, Li Yang, Fengjun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
Jhanvi Garg, Krishnakumar Balasubramanian, Quan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Approximate Gaussian Inference in Classification
Bálint Mucsányi, Nathaël Da Costa, Philipp Hennig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates
Hang Chen, Jiaying Zhu, Xinyu Yang, Wenya Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
Mincheol Park, Heeji Won, Won Woo Ro, Suhyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Fair Federated Learning from Parameter and Client View
Kaiqi Guan, Wenke Huang, Xianda Guo, Yueyang Yuan, Bin Yang, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning
Feng Chen, Allan Raventós, Nan Cheng, Surya Ganguli, Shaul Druckmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator
Shuchang Zhang, Yaoyun Zeng, Kangkang Deng, Hongxia Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu, Ting Chen, Shi Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Losses for Diffusion Bridge Samplers
Sebastian Sanokowski, Lukas Gruber, Christoph Bartmann, Sepp Hochreiter, Sebastian Lehner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
Qing-Yuan Jiang, Longfei Huang, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees
Fu Luo, Yaoxin Wu, Zhi Zheng, Zhenkun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
Qiyuan Guan, Xiang Chen, Guiyue Jin, Jiyu Jin, Shumin Fan, Tianyu Song, Jinshan Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
Hao Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan
Machine Learning
日本大学: 東京科学大学
2025 · NeurIPS
Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
Zhenbin Wang, Lei Zhang, Wei Huang, Zhao Zhang, Zizhou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking PCA Through Duality
Jan Quan, Johan Suykens, Panagiotis Patrinos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Residual Distribution in Locate-then-Edit Model Editing
Xiaopeng Li, Shangwen Wang, Shasha Li, Shezheng Song, Bin Ji, Ma Jun, Jie Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
Lin Zhu, Tengyu Long, Xiao Wang, Lizhi Wang, Hua Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Tokenized Graph Transformers for Node Classification
Jinsong Chen, Chenyang Li, Gaichao Li, John E. Hopcroft, Kun He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking Verification for LLM Code Generation: From Generation to Testing
Zihan Ma, Taolin Zhang, Maosongcao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rethinking the Role of Verbatim Memorization in LLM Privacy
Tom Sander, Bargav Jayaraman, Mark Ibrahim, Kamalika Chaudhuri, Chuan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Noah Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Retro-R1: LLM-based Agentic Retrosynthesis
Wei Liu, Jiangtao Feng, Hongli Yu, Yuxuan Song, Yuqiang Li, Shufei Zhang, LEI BAI, Wei-Ying Ma, Hao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
Wen-Tse Chen, Jiayu Chen, Fahim Tajwar, Hao Zhu, Xintong Duan, Ruslan Salakhutdinov, Jeff G. Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
Mianchu Wang, Giovanni Montana
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, Shiqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Xiaowen Dong, Kamyar Azizzadenesheli, Pierre Vandergheynst
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revealing Multimodal Causality with Large Language Models
Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reverse Diffusion Sequential Monte Carlo Samplers
Luhuan Wu, Yi Han, Christian Andersson Naesseth, John P. Cunningham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reverse Engineering Human Preferences with Reinforcement Learning
Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos, Maximilian Mozes, Marek Rei, Max Bartolo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design
Jake Callahan, Andrew Chin, Jason Pacheco, Tommie Catanach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revising and Falsifying Sparse Autoencoder Feature Explanations
George Ma, Samuel Pfrommer, Somayeh Sojoudi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
Kenta Niwa, Yuki Takezawa, Guoqiang Zhang, W. Kleijn
Machine Learning
日本大学: 沖縄科学技術大学院大学
2025 · NeurIPS
Revisiting Agnostic Boosting
Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice, Yuxin Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
Reza Ebrahimi, Roland Memisevic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
Kumar Kshitij Patel, Ali Zindari, Sebastian Stich, Lingxiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao CHEN, Xiang Li, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh
Machine Learning
日本大学: 京都大学 / 東京大学
2025 · NeurIPS
Revisiting Frank-Wolfe for Structured Nonconvex Optimization
Hoomaan Maskan, Yikun Hou, Suvrit Sra, Alp Yurtsever
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws
Lin Guo, Xiaoqing Luo, Wei Xie, Zhancheng Zhang, Hui Li, Rui Wang, Zhenhua Feng, Xiaoning Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Glorot Initialization for Long-Range Linear Recurrences
Noga Bar, Mariia Seleznova, ‪Yotam Alexander‬‏, Gitta Kutyniok, Raja Giryes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
Yarden Bakish, Itamar Zimerman, Hila Chefer, Lior Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang, RuiBing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective
Yang Zhang, Xinran Li, Jianing Ye, Shuang Qiu, Delin Qu, Xiu Li, Chongjie Zhang, Chenjia Bai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Orbital Minimization Method for Neural Operator Decomposition
Jongha (Jon) Ryu, Samuel Zhou, Gregory Wornell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
Giyeong Oh, Woohyun Cho, Siyeol Kim, Suhwan Choi, Youngjae Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revisiting Semi-Supervised Learning in the Era of Foundation Models
Ping Zhang, Zheda Mai, Quang-Huy (Percy) Nguyen, Wei-Lun (Harry) Chao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
Jiawei Gu, Ziyue Qiao, Xinming Li, Zechao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models
Chenrui Cao, Liangcheng Song, Zenan Li, Xinyi Le, Xian Zhang, HUI XUE, Fan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
Jiaxin Wu, Chenglong Pang, Guangxiong Chen, Jie Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
Haidong Kang, Lihong Lin, Hanling Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reward Reasoning Models
Jiaxin Guo, Zewen Chi, Li Dong, Qingxiu Dong, Xun Wu, Shaohan Huang, Furu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reward-Aware Proto-Representations in Reinforcement Learning
Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Reward-oriented Causal Representation Learning
Zirui Yan, Emre Acartürk, Ali Tajer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
Siqiao Mu, Diego Klabjan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
Jingyi Yang, Shuai Shao, Dongrui Liu, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
Runze Ma, Zhongyue Zhang, Zichen Wang, Chenqing Hua, Jiahua Rao, Zhuomin Zhou, Shuangjia Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ridge Boosting is Both Robust and Efficient
David Bruns-Smith, Zhongming Xie, Avi Feller
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models
Junda Zhu, Jun Ai, Yujun Li, Yichun Yin, Yasheng Wang, Lifeng Shang, Qun Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Riemannian Consistency Model
Chaoran Cheng, Yusong Wang, Yuxin Chen, Xiangxin Zhou, Nanning Zheng, Ge Liu
Machine Learning
日本大学: 関与なし（対象大学）