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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
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pseudo-Riemannian Graph Transformer
Viet Quan Le, Cuong Viet Ta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu, Yang Liu, Leqian Zheng, Jue Hong, Junjie Shi, Qingyou Yang, Ye Wu, Cong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Puppeteer: Rig and Animate Your 3D Models
Chaoyue Song, Xiu Li, Fan Yang, Zhongcong XU, Jiacheng Wei, Fayao Liu, Jiashi Feng, Guosheng Lin, Jianfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Purest Quantum State Identification
Yingqi Yu, Honglin Chen, Jun Wu, Wei Xie, Xiangyang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Purifying Approximate Differential Privacy with Randomized Post-processing
Yingyu Lin, Erchi Wang, Yian Ma, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
Runa Eschenhagen, Aaron Defazio, Tsung-Hsien Lee, Richard E Turner, Hao-Jun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
Wenzhao Liu, Haoran Li, Congying Han, Zicheng Zhang, Anqi Li, Tiande Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PurpCode: Reasoning for Safer Code Generation
Jiawei Liu, Nirav Diwan, Zhe Wang, Haoyu Zhai, Xiaona Zhou, Kiet Nguyen, Tianjiao Yu, Muntasir Wahed, Yinlin Deng, Hadjer Benkraouda, Yuxiang Wei, LINGMING ZHANG, Ismini Lourentzou, Gang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction
Jiahao Ma, Lei Wang, Miaomiao Liu, David Ahmedt-Aristizabal, Chuong Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis
Zhizhuo Yin, Yuk Hang Tsui, Pan Hui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
Weiqi Li, Xuanyu Zhang, Shijie Zhao, Yabin ZHANG, Junlin Li, Li zhang, Jian Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
DEOKJAE LEE, Hyun Oh Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution
Zhenwei Zhang, Fanhua Shang, Hongying Liu, Liang Wan, Wei Feng, Yanming Hui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
Wanlong Liu, Junxiao Xu, Fei Richard Yu, Yukang Lin, Ke Ji, Wenyu Chen, Lifeng Shang, Yasheng Wang, Yan Xu, Benyou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
Jincheol Yang, Jaemin Choi, Matti Zinke, Suk-Ju Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
Yutong Wang, Haiyu Wang, Sai Qian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation
Yaoyu Zhu, Di Huang, Hanqi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang zhao, Pengwei Jin, Shuyao Cheng, shengwen Liang, xishan zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
Hainan Fang, Yuanbo Wen, Jun Bi, Yihan Wang, Tonghui He, Yanlin Tang, Di Huang, Jiaming Guo, Rui Zhang, Qi Guo, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
Yang Zhang, Rui Zhang, Jiaming Guo, Huang Lei, Di Huang, Yunpu Zhao, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
David Dai, Peilin Chen, Chanakya Ekbote, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QuARI: Query Adaptive Retrieval Improvement
Eric P Xing, Abby Stylianou, Robert Pless, Nathan Jacobs
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
Qian Chen, Linxin Yang, Akang Wang, Xiaodong Luo, Yin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Zhanfu Yang, Cuixi Li, Yang Liu, Liang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
Sicheng Zuo, Wenzhao Zheng, Xiaoyong Han, Longchao Yang, yong pan, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models
Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li, Feng Gu, Yanglangxing He, Pengfeng Xiao, Xueliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Qian Tang, Yuwen Gu, Boxiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying Cross-Modality Memorization in Vision-Language Models
Yuxin Wen, Yangsibo Huang, Tom Goldstein, Ravi Kumar, Badih Ghazi, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu, Yixiong Zou, Jun Wang, Wei Liu, Xiangyu Fu, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying Elicitation of Latent Capabilities in Language Models
Elizabeth Donoway, Hailey Joren, Arushi Somani, Henry Sleight, Julian Michael, Michael R. Deweese, John Schulman, Ethan Perez, Fabien Roger, Jan Leike
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka, Tomohiro Shiraishi, Kouichi Taji, Ichiro Takeuchi
Machine Learning
日本大学: 名古屋大学
2025 · NeurIPS
Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
Yu (Eric) Qian, Wilson Geisler, Xue-Xin Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
Thomas Klein, Sascha Meyen, Wieland Brendel, Felix A. Wichmann, Kristof Meding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying Uncertainty in the Presence of Distribution Shifts
Yuli Slavutsky, David Blei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting
Kangjie Chen, Yingji Zhong, Zhihao Li, Jiaqi Lin, Youyu Chen, Minghan Qin, Haoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions
Simon Matrenok, Skander Moalla, Caglar Gulcehre
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantitative convergence of trained neural networks to Gaussian processes
Andrea Agazzi, Eloy Mosig García, Dario Trevisan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
Yamato Arai, Yuma Ichikawa
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Quantization-Free Autoregressive Action Transformer
Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach, Claire Vernade
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantum Doubly Stochastic Transformers
Jannis Born, Filip Skogh, Kahn Rhrissorrakrai, Filippo Utro, Nico Wagner, Aleksandros Sobczyk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantum Speedups for Minimax Optimization and Beyond
Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang, Institute of Computing Xiaoming Sun, John C. S. Lui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantum Visual Fields with Neural Amplitude Encoding
Shuteng Wang, Christian Theobalt, Vladislav Golyanik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quantum speedup of non-linear Monte Carlo problems
Jose Blanchet, Yassine Hamoudi, Mario Szegedy, Guanyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quartet: Native FP4 Training Can Be Optimal for Large Language Models
Roberto Castro, Andrei Panferov, Rush Tabesh, Oliver Sieberling, Jiale Chen, Mahdi Nikdan, Saleh Ashkboos, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
Alina Ene, Ta Duy Nguyen, Adrian Vladu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
Gautam Kamath, Alireza F. Pour, Matthew Regehr, David P. Woodruff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
R$^2$ec: Towards Large Recommender Models with Reasoning
Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
Zefan Cai, Wen Xiao, Hanshi Sun, cheng Luo, Yikai Zhang, Ke Wan, Yucheng Li, Yeyang Zhou, Li-Wen Chang, Jiuxiang Gu, Zhen Dong, Animashree Anandkumar, Abedelkadir Asi, Junjie Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO
Huanjin Yao, Qixiang Yin, Jingyi Zhang, Min Yang, Yibo Wang, Wenhao Wu, Fei Su, Li Shen, Minghui Qiu, Dacheng Tao, Jiaxing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
Haolin Li, Tianjie Dai, Zhe Chen, Siyuan Du, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
Hao Gao, Shaoyu Chen, Bo Jiang, Bencheng Liao, Yiang Shi, Xiaoyang Guo, Yuechuan Pu, haoran yin, Xiangyu Li, xinbang zhang, ying zhang, Wenyu Liu, Qian Zhang, Xinggang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
Xingliang Wang, Zemin Liu, Junxiao Han, Shuiguang Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
Jiarui Zhang, Xiangyu Liu, Yong Hu, Chaoyue Niu, Fan Wu, Guihai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection
Xin Tong, Baojie Tian, Yufei Guo, Zhe Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platform for Embodied Intelligence
Zhaoliang Wan, Zetong Bi, Zida Zhou, Hao Ren, Yiming Zeng, Yihan Li, Lu Qi, Xu Yang, Ming-Hsuan Yang, Hui Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAPTR: Radar-based 3D Pose Estimation using Transformer
Sorachi Kato, Ryoma Yataka, Pu (Perry) Wang, Pedro Miraldo, Takuya Fujihashi, Petros Boufounos
Machine Learning
日本大学: 大阪大学
2025 · NeurIPS
RAST: Reasoning Activation in LLMs via Small-model Transfer
Siru Ouyang, Xinyu Zhu, Zilin Xiao, Minhao Jiang, Yu Meng, Jiawei Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
Xiuying Wei, Anunay Yadav, Razvan Pascanu, Caglar Gulcehre
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang, Christopher Brinton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
Mingxuan Yan, Yuping Wang, Zechun Liu, Jiachen Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving
Annabelle Sujun Tang, Christopher Priebe, Rohan Mahapatra, Lianhui Qin, Hadi Esmaeilzadeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints
Di Wu, Liu Liu, Zhou Linli, Anran Huang, Liangtu Song, Qiaojun Yu, Qi Wu, Cewu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
Shuguang Wang, Qian Zhou, Kui Wu, Dapeng Wu, Wei-Bin Lee, Jianping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
Weihan Xu, Yimeng Ma, Jingyue Huang, Yang Li, Wenye Ma, Taylor Berg-Kirkpatrick, Julian McAuley, Paul Liang, Hao-Wen Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REINFORCE Converges to Optimal Policies with Any Learning Rate
Samuel Robertson, Thang Chu, Bo Dai, Dale Schuurmans, Csaba Szepesvari, Jincheng Mei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REMI: Reconstructing Episodic Memory During Internally Driven Path Planning
Zhaoze Wang, Genela Morris, Dori Derdikman, Pratik Chaudhari, Vijay Balasubramanian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
Savya Khosla, Sethuraman T V, Barnett Lee, Alex Schwing, Derek Hoiem
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REOrdering Patches Improves Vision Models
Declan Kutscher, David Chan, Yutong Bai, Trevor Darrell, Ritwik Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
Sungho Jeon, Xinyue Ma, Kwang In Kim, Myeongjae Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang "Atlas" Wang, Kai Wang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
Ruiqi Wang, Hao Helen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis
Robin Yadav, Qi Yan, Guy Wolf, Joey Bose, Renjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RF-Agent: Automated Reward Function Design via Language Agent Tree Search
Ning Gao, Xiuhui Zhang, Xingyu Jiang, Mukang You, Mohan Zhang, Yue Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching
Wenzhe Ouyang, Qi Ye, Jinghua Wang, Zenglin Xu, Jiming Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
Fang Li, Hao Helen Zhang, Narendra Ahuja
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
Eilon Vaknin Laufer, Boaz Nadler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He, Haozheng Luo, Yan Chen, Qi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
Sepehr Mousavi, Shizheng Wen, Levi E. Lingsch, Maximilian Herde, Bogdan Raonic, Siddhartha Mishra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
Kaiwen Zha, Zhengqi Gao, Maohao Shen, Zhang-Wei Hong, Duane Boning, Dina Katabi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
Tianyi Yan, Wencheng Han, xia zhou, Xueyang Zhang, Kun Zhan, Cheng-Zhong Xu, Jianbing Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RLVR-World: Training World Models with Reinforcement Learning
Jialong Wu, Shaofeng Yin, Ningya Feng, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
Harshit Sushil Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RNNs perform task computations by dynamically warping neural representations
Arthur Pellegrino, Angus Chadwick
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian, Pengfei Jin, Mingze Yuan, Na Li, Bo Zeng, Quanzheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ROGR: Relightable 3D Objects using Generative Relighting
Jiapeng Tang, Matthew Levine, Dor Verbin, Stephan Garbin, Matthias Niessner, Ricardo Martin Brualla, Pratul P. Srinivasan, Philipp Henzler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
Cuong Dao, The Hung Tran, Phi Le Nguyen, Truong Thao Nguyen, Nghia Hoang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ROSE: Remove Objects with Side Effects in Videos
Chenxuan Miao, Yutong Feng, Jianshu Zeng, Zixiang Gao, Hantang Liu, Yunfeng Yan, Donglian Qi, Xi Chen, Bin Wang, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
Philip Schroeder, Ondrej Biza, Thomas Weng, Hongyin Luo, Jim Glass
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization
Dongki Jung, Jaehoon Choi, Yonghan Lee, Dinesh Manocha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards
jingnan zheng, Xiangtian Ji, Yijun Lu, Chenhang Cui, Weixiang Zhao, Gelei Deng, Zhenkai Liang, An Zhang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator
SangYong Lee, Sangjun Chung, Simon Woo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
Jonggwon Park, Byungmu Yoon, Soobum Kim, Kyoyun Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
Xuming He, Zhiyuan You, Junchao Gong, Couhua Liu, Xiaoyu Yue, Peiqin Zhuang, Wenlong Zhang, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）