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
Training Language Models to Generate Quality Code with Program Analysis Feedback
Feng Yao, Zilong Wang, Liyuan Liu, Junxia Cui, Li Zhong, Xiaohan Fu, Haohui Mai, Viswanathan Krishnan, Jianfeng Gao, Jingbo Shang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training Language Models to Reason Efficiently
Daman Arora, Andrea Zanette
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training Robust Graph Neural Networks by Modeling Noise Dependencies
Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training a Scientific Reasoning Model for Chemistry
Siddharth Narayanan, James Braza, Ryan-Rhys Griffiths, Albert Bou, Geemi Wellawatte, Mayk Caldas Ramos, Ludovico Mitchener, Michael Pieler, Sam Rodriques, Andrew White
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training the Untrainable: Introducing Inductive Bias via Representational Alignment
Vighnesh Subramaniam, David Mayo, Colin Conwell, Tomaso A Poggio, Boris Katz, Brian Cheung, Andrei Barbu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Constrained Generation With Stable Diffusion Models
Stefano Zampini, Jacob K Christopher, Luca Oneto, Davide Anguita, Ferdinando Fioretto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Efficient Video Generation via Dynamic Token Carving
Yuechen Zhang, Jinbo Xing, bin xia, Shaoteng Liu, Bohao PENG, Xin Tao, Pengfei Wan, Eric Lo, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Yingqing Guo, Yukang Yang, Hui Yuan, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Safe Denoisers for Safe Use of Diffusion Models
Mingyu Kim, Dongjun Kim, Amman Yusuf, Stefano Ermon, Mi Jung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
Byeonghu Na, Mina Kang, Jiseok Kwak, Minsang Park, Jiwoo Shin, SeJoon Jun, Gayoung Lee, Jin-Hwa Kim, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
Shenglong Zhou, Manjiang Yin, Leiyu Sun, Shicai Yang, Di Xie, Jiang Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-free Detection of AI-generated images via Cropping Robustness
Sungik Choi, Hankook Lee, Moontae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Training-free Online Video Step Grounding
Luca Zanella, Massimiliano Mancini, Yiming Wang, Alessio Tonioni, Elisa Ricci
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration
Yuwei Du, Jie Feng, Jie Zhao, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
Yichen Liu, Yan Lin, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Obando Ceron, Yoshua Bengio, Bhavya Kailkhura
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning
Yurun Yuan, Fan Chen, Zeyu Jia, Alexander Rakhlin, Tengyang Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design
Yunfan Li, Eric Liu, Lin F. Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
Jiahao Yu, Haozhuang Liu, Yeqiu Yang, Lu Chen, Jian Wu, Yuning Jiang, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup
Fanxu Meng, Pingzhi Tang, Zengwei Yao, Xing Sun, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li, Xizheng Wang, Zhiyuan Wu, Yukai Miao, Yu Bai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transductive Conformal Inference for Full Ranking
Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
Yi Zhang, Elynn Chen, Yujun Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee, Huimin Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
Tomáš Souček, Sylvestre-Alvise Rebuffi, Pierre Fernandez, Nikola Jovanović, Hady Elsahar, Valeriu Lacatusu, Tuan Tran, Alexandre Mourachko
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transferring Causal Effects using Proxies
Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen, Jonas Peters
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transferring Linear Features Across Language Models With Model Stitching
Alan Chen, Jack Merullo, Alessandro Stolfo, Ellie Pavlick
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
Mengyu Ye, Jun Suzuki, Tatsuro Inaba, Tatsuki Kuribayashi
Machine Learning
日本大学: 東北大学
2025 · NeurIPS
Transformer brain encoders explain human high-level visual responses
Hossein Adeli, Sun Minni, Nikolaus Kriegeskorte
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger, Shashanka Ubaru, Alexander G. Gray
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization
Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transformers are almost optimal metalearners for linear classification
Roey Magen, Gal Vardi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transformers for Mixed-type Event Sequences
Felix Draxler, Yang Meng, Kai Nelson, Lukas Laskowski, Yibo Yang, Theofanis Karaletsos, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones
Ke Li, Yan Ding, Zhiqin Zhu, Shenhai Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
Litao Li, Leo Song, Steven Ding, Benjamin C. M. Fung, Philippe Charland
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transition Matching: Scalable and Flexible Generative Modeling
Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models
Chunlong Xie, Kangjie Chen, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Traversal Verification for Speculative Tree Decoding
Yepeng Weng, Qiao Hu, Xujie Chen, Li Liu, Dianwen Mei, Huishi Qiu, Jiang Tian, zhongchao shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Daniel Dsouza, Julia Kreutzer, Adrien Morisot, Ahmet Üstün, Sara Hooker
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Treatment Effect Estimation for Optimal Decision-Making
Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tree of Preferences for Diversified Recommendation
Hanyang Yuan, Ning Tang, Tongya Zheng, Jiarong Xu, Xintong Hu, Renhong Huang, Shunyu Liu, Jiacong Hu, Jiawei Chen, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tree-Based Premise Selection for Lean4
Zichen Wang, Anjie Dong, Zaiwen Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tree-Guided Diffusion Planner
Hyeonseong Jeon, Cheolhong Min, Jaesik Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tree-Sliced Entropy Partial Transport
Viet-Hoang Tran, Thanh Tran, Thanh Chu, Tam Le, Tan M. Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TreeGen: A Bayesian Generative Model for Hierarchies
Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti, Bertrand Charpentier, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
Qiuhong Shen, Xingyi Yang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
Sheng Wang, Pengan CHEN, Jingqi Zhou, Qintong Li, Jingwei Dong, Jiahui Gao, Boyang XUE, Jiyue Jiang, Lingpeng Kong, Chuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs
Yibo Wang, Hai-Long Sun, Guangda Huzhang, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
Baran Hashemi, Kurt Pasque, Chris Teska, Ruriko Yoshida
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Wenjing Tang, Xinyu He, Yongxi Huang, Yunxiao Xiao, Cewu Lu, Panpan Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
True Impact of Cascade Length in Contextual Cascading Bandits
Hyun-jun Choi, Joongkyu Lee, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer, Daniel Durstewitz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo i Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gaël Gendron, Libo Zhang, Jiamou Liu, Michael Witbrock
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
Xiaoyuan Liu, Tian Liang, Zhiwei He, Jiahao Xu, Wenxuan Wang, Pinjia He, Zhaopeng Tu, Haitao Mi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
Herun Wan, Jiaying Wu, Minnan Luo, Zhi Zeng, Zhixiong Su
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Truthful Aggregation of LLMs with an Application to Online Advertising
Ermis Soumalias, Michael Curry, Sven Seuken
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
Pratik Rathore, Zachary Frangella, Sachin Garg, Shaghayegh Fazliani, Michal Derezinski, Madeleine Udell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
Tal Fiskus, Uri Shaham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin, Jinhao Cui, Lingzhi Wang, Ning Hu, Qing Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning
Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
Yuzhe YANG, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, Benyou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
Mengru Wang, Xingyu Chen, Yue Wang, Zhiwei He, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Two Heads are Better than One: Simulating Large Transformers with Small Ones
Hantao Yu, Josh Alman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
Mateo Clémente, Leo Brunswic, Yang, Xuan Zhao, Yasser Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion
Haoyu Li, Xiangru Zhong, Bin Hu, Huan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization
Guanchen Li, Yixing Xu, Zeping Li, Ji Liu, Xuanwu Yin, Dong Li, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching
Junsheng Zhou, XingYu Shi, Haichuan Song, Yi Fang, Yu-Shen Liu, Zhizhong Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
U-REPA: Aligning Diffusion U-Nets to ViTs
Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
Elena Celledoni, Brynjulf Owren, Chong Shen, Baige Xu, Takaharu Yaguchi
Machine Learning
日本大学: 神戸大学
2025 · NeurIPS
UFM: A Simple Path towards Unified Dense Correspondence with Flow
Yuchen Zhang, Nikhil Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen, Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu, Deva Ramanan, Sebastian Scherer, Wenshan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
Yang Zhao, Kai Xiong, Xiao Ding, Li Du, Yangou Ouyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
Hao Tang, Chen-Wei Xie, Haiyang Wang, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UFT: Unifying Supervised and Reinforcement Fine-Tuning
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
Xixi Wan, AIHUA ZHENG, Bo Jiang, Beibei Wang, Chenglong Li, Jin Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
Zhichao Wang, Xinhai Chen, Qinglin Wang, Xiang Gao, Qingyang Zhang, Menghan Jia, Xiang Zhang, Jie Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
Shijun Liang, Ismail Alkhouri, Siddhant Gautam, Qing Qu, Saiprasad Ravishankar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, yafei wen, xiaoxin chen, Aojun Zhou, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UMA: A Family of Universal Models for Atoms
Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John Kitchin, Daniel S Levine, Kyle Michel, Anuroop Sriram, Taco S Cohen, Abhishek Das, Sushree Sahoo, Ammar Rizvi, Zachary Ulissi, Larry Zitnick
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
Thanh-Tung Le, Tuan Pham, Tung Nguyen, Deying Kong, Xiaohui Xie, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UMoE: Unifying Attention and FFN with Shared Experts
Yuanhang Yang, Chaozheng Wang, Jing Li
Machine Learning
日本大学: 東京科学大学
2025 · NeurIPS
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model
Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
Dongyang Fan, Vinko Sabolčec, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling
Nan Sun, LuYu Yuan, Han Fang, Yuxing Lu, Hefei Ling, Sijing Xie, Chengxin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
Chen Zhao, En Ci, Yunzhe Xu, Tiehan Fan, Shanyan Guan, Yanhao Ge, Jian Yang, Ying Tai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
Yuang Meng, Xin Jin, Lina Lei, Chun-Le Guo, Chongyi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Ultrametric Cluster Hierarchies: I Want ‘em All!
Andrew Draganov, Pascal Weber, Rasmus Jørgensen, Anna Beer, Claudia Plant, Ira Assent
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
Tingzhu Bi, Yicheng Pan, Xinrui Jiang, Huize Sun, Meng Ma, Ping Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
Nhan-Phu Chung, Jinhui Han, Bohan Li, Zehao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
Zhongao Zhou, Bin Yang, Wenke Huang, Jun Chen, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Tien Manh Luong, Khai Nguyen, Dinh Phung, Reza Haffari, Lizhen Qu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
Tianxing Wu, Shutong Zhu, Jingting Wang, Ning Xu, Guilin Qi, Haofen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon, Heeyoung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
Fred Xu, Thomas Markovich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa, Simos Gerasimou
Machine Learning
日本大学: 関与なし（対象大学）