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
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
Frank Shih, Zhenghao Jiang, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty Quantification with the Empirical Neural Tangent Kernel
Joseph Wilson, Chris van der Heide, Liam Hodgkinson, Fred Roosta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
Lianghong Chen, Dongkyu Kim, Mike Domaratzki, Pingzhao Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
Yujie Zhu, Charles Hepburn, Matthew Thorpe, Giovanni Montana
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou, George J. Pappas, Christos Davatzikos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-Guided Exploration for Efficient AlphaZero Training
Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut T Kandemir
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data
Xingyu Ren, Pengwei Liu, Pengkai Wang, Guanyu Chen, Qinxin Wu, Dong Ni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-Sensitive Privileged Learning
Fan-Ming Luo, Lei Yuan, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-aware Preference Alignment for Diffusion Policies
Runqing Miao, Sheng Xu, Runyi Zhao, Wai Kin (Victor) Chan, Guiliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
Jing Dong, Baoxiang Wang, Yaoliang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game
Tingting Dan, Zhihao Fan, Guorong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau, Doina Precup, Jonathan Love
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uncovering the Spectral Bias in Diagonal State Space Models
Ruben Solozabal, Velibor Bojkovic, Hilal AlQuabeh, Kentaro Inui, Martin Takac
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
Xiaotian Qiao, Ke Xu, Xianglong Yang, Ruijie Dong, Xiaofang Xia, Jiangtao Cui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Xiaoyu Yue, ZiDong Wang, Yuqing Wang, Wenlong Zhang, Xihui Liu, Wanli Ouyang, LEI BAI, Luping Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Adam Requires Better Rotation Dependent Assumptions
Tianyue Zhang, Lucas Maes, Alan Milligan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Bias Terms in Neural Representations
Weixiang Zhang, Boxi Li, Shuzhao Xie, Chengwei Ren, Yuan Xue, Zhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Contrastive Learning via Gaussian Mixture Models
Parikshit Bansal, Ali Kavis, Sujay Sanghavi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Data Influence in Reinforcement Finetuning
Haoru Tan, Xiuzhe Wu, Sitong Wu, Shaofeng Zhang, Yanfeng Chen, Xingwu Sun, Jeanne Shen, Xiaojuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Differential Transformer Unchains Pretrained Self-Attentions
Chaerin Kong, Jiho Jang, Nojun Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi, Pankaj Bhagwat, Zhixian Yang, Linglong Kong, Bei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
Takeshi Koshizuka, Issei Sato
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws
Zhixuan Pan, Shaowen Wang, Liao Pengfei, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration
Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
Jun Zhao, Yongzhuo Yang, Xiang Hu, Jingqi Tong, Yi Lu, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
Tim Genewein, Kevin Li, Jordi Grau-Moya, Anian Ruoss, Laurent Orseau, Marcus Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem
Elvis Dohmatob
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
Mingze Dong, Leda Wang, Yuval Kluger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou, Yao Ma, Ming Gu, HONGJIA XU, Jiawei Chen, Jiajun Bu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Weixin Chen, Han Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding and Rectifying Safety Perception Distortion in VLMs
Xiaohan Zou, Jian Kang, George Kesidis, Lu Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Stephen Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding protein function with a multimodal retrieval-augmented foundation model
Timothy Truong Jr, Tristan Bepler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
Kaiqi Jiang, Jeremy Cohen, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
Divyansh Pareek, Sewoong Oh, Simon S Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
Xuan Tang, Han Zhang, Yuan Cao, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin, Yi Xu, Philippos Mordohai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
Alexander Long, Chamin P Hewa Koneputugodage, Thalaiyasingam Ajanthan, Yan Zuo, Gil Avraham, Violetta Shevchenko, Hadi Mohaghegh Dolatabadi, Sameera Ramasinghe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unfolding the Black Box of Recurrent Neural Networks for Path Integration
Tianhao Chu, Yuling Wu, Neil Burgess, Zilong Ji, Si Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
Yifei Wang, Weimin Bai, colin zhang, Debing Zhang, Weijian Luo, He Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uni-LoRA: One Vector is All You Need
Kaiyang Li, Shaobo Han, Qing Su, Wei Li, Zhipeng Cai, Shihao Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition
Yu Li, Jin Jiang, Jianhua Zhu, Shuai Peng, Baole, Yuxuan Zhou, Liangcai Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
Ruichuan An, Sihan Yang, Renrui Zhang, zijun shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Haoming Ye, Yunxiao Xiao, Cewu Lu, Panpan Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu, Junjie Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation
Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu, Yinfei Yang, Afshin Dehghan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Tianqing Fang, Hongming Zhang, Haitao Mi, Dong Yu, Zhicheng Dou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
Pengwei Liu, Hangjie Yuan, Bo Dong, Jiazheng Xing, Jinwang Wang, Rui Zhao, Weihua Chen, Fan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
Xiaoqi Zhao, Youwei Pang, Chenyang Yu, Lihe Zhang, Huchuan Lu, Shijian Lu, Georges Fakhri, Xiaofeng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
Nan Song, Junzhe Jiang, jingyu li, Xiatian Zhu, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning
Ye Liu, Zongyang Ma, Junfu Pu, Zhongang Qi, Yang Wu, Ying Shan, Chang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
Kai He, Ruofan Liang, Jacob Munkberg, Jon Hasselgren, Nandita Vijaykumar, Alexander Keller, Sanja Fidler, Igor Gilitschenski, Zan Gojcic, Zian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
Jigang Fan, Quanlin Wu, Shengjie Luo, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniTok: a Unified Tokenizer for Visual Generation and Understanding
Chuofan Ma, Yi Jiang, Junfeng Wu, Jihan Yang, Xin Yu, Zehuan Yuan, BINGYUE PENG, Xiaojuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Yu, Xiangyu Zhao, Xun Zhou, Liang Han, Xuetao Wei, Yuxuan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
guojun lei, Rong Zhang, Tianhang Liu, Hong Li, Zhiyuan Ma, Chi Wang, Weiwei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniViT: Unifying Image and Video Understanding in One Vision Encoder
feilong tang, xiangan, Haolin Yang, Yin Xie, Kaicheng Yang, Ming Hu, Zheng Cheng, Xingyu Zhou, Zimin Ran, Imran Razzak, Ziyong Feng, Behzad Bozorgtabar, Jiankang Deng, Zongyuan Ge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
Chenao Li, Shuo Yan, Enyan Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation
Geng Chen, Pengfei Ren, Xufeng Jian, Haifeng Sun, Menghao Zhang, Qi Qi, Zirui Zhuang, Jing Wang, Jianxin Liao, Jingyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
Yibin Wang, li zhimin, Yuhang Zang, Chunyu Wang, Qinglin Lu, Cheng Jin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unified Reinforcement and Imitation Learning for Vision-Language Models
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Frank Wang, Yueh-Hua Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unified Scaling Laws for Compressed Representations
Andrei Panferov, Alexandra Volkova, Ionut-Vlad Modoranu, Vage Egiazarian, Mher Safaryan, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li, Kehai Chen, Weili Guan, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unified all-atom molecule generation with neural fields
Matthieu Kirchmeyer, Pedro O O. Pinheiro, Emma Willett, Karolis Martinkus, Joseph Kleinhenz, Emily Makowski, Andrew Watkins, Vladimir Gligorijevic, Richard Bonneau, Saeed Saremi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
Mohammad Pedramfar, Christopher John Quinn, Vaneet Aggarwal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
Nan Wang, Lixing Xiao, Yuantao Chen, Weiqing Xiao, Pierre Merriaux, Lei Lei, Ziyang Yan, Saining Zhang, Shaocong Xu, chongjie Ye, Bohan Li, Zhaoxi Chen, Tianfan Xue, Hao Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
Haolin Yang, Hakaze Cho, Yiqiao Zhong, Naoya Inoue
Machine Learning
日本大学: 北陸先端科学技術大学院大学
2025 · NeurIPS
Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
Benjamin Cookson, Nisarg Shah, Ziqi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio Calmon, Jean Raisaro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
Xiaolei Wang, Tianhong Dai, Huihui Bai, Yao Zhao, Jimin XIAO
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization
Longshen Ou, Jingwei Zhao, Ziyu Wang, Gus Xia, Qihao Liang, Torin Hopkins, Ye Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Siwei Zhang, Yun Xiong, Yateng Tang, Jiarong Xu, Xi Chen, Zehao Gu, Xuehao Zheng, Zi'an Jia, Jiawei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
Yujie Xing, Xiao Wang, Bin Wu, Hai Huang, Chuan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universal Causal Inference in a Topos
Sridhar Mahadevan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching
Benjamin Minixhofer, Ivan Vulić, Edoardo Maria Ponti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universal Few-shot Spatial Control for Diffusion Models
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universal Sequence Preconditioning
Annie Marsden, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
Zeqian Li, Shangzhe Di, Zhonghua Zhai, Weilin Huang, Yanfeng Wang, Weidi Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universal Visuo-Tactile Video Understanding for Embodied Interaction
Yifan Xie, Mingyang Li, Shoujie Li, Xingting Li, Guangyu Chen, Fei Ma, Fei Richard Yu, Wenbo Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Universally Invariant Learning in Equivariant GNNs
Jiacheng Cen, Anyi Li, Ning Lin, Tingyang Xu, Yu Rong, Deli Zhao, Zihe Wang, Wenbing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
Yunqi Hong, Sohyun An, Andrew Bai, Neil Lin, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
Xiaoyu Wu, Yifei Pang, Terrance Liu, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlearning-Aware Minimization
Hoki Kim, Keonwoo Kim, Sungwon Chae, Sangwon Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
Qiankun Li, Feng He, Huabao Chen, Xin Ning, Kun Wang, Zengfu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unleashing Hour-Scale Video Training for Long Video-Language Understanding
Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
Zaiquan Yang, Yuhao LIU, Gerhard Hancke, Rynson Lau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
shu chen, HongJun Xu, Ruichi Zhang, Mengke Li, Yonggang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlocking Dataset Distillation with Diffusion Models
Brian Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, Andreas Dengel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlocking Multimodal Mathematical Reasoning via Process Reward Model
Ruilin Luo, Zhuofan Zheng, Lei Wang, Yifan Wang, Xinzhe Ni, Zicheng Lin, Songtao Jiang, Yiyao Yu, Chufan Shi, Ruihang Chu, Jin zeng, Yujiu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
Jinyang Li, Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori, Ron Dror
Machine Learning
日本大学: 関与なし（対象大学）