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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
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe, Giovanni Bellitto, Simone Palazzo, Daniela Giordano, Mubarak Shah, Concetto Spampinato
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk, Ziyan Wang, Anastasia Ianina, Aljaz Bozic, Ulrich Neumann, Tony Tung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
Chieh Lin, Zhaoyang Lv, Songyin Wu, Zhen Xu, Thu H Nguyen-Phuoc, Hung-Yu Tseng, Julian Straub, Numair Khan, Lei Xiao, Ming-Hsuan Yang, Yuheng Ren, Richard Newcombe, Zhao Dong, Zhengqin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
Canyu Zhao, Yanlong Sun, Mingyu Liu, Huanyi Zheng, Muzhi Zhu, Zhiyue Zhao, Hao Chen, Tong He, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DINGO: Constrained Inference for Diffusion LLMs
Tarun Suresh, Debangshu Banerjee, Shubham Ugare, Sasa Misailovic, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DINO-Foresight: Looking into the Future with DINO
Efstathios Karypidis, Ioannis Kakogeorgiou, Spyridon Gidaris, Nikos Komodakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
Ruiqi Wu, Xinjie wang, Liu.Liu, Chun-Le Guo, Jiaxiong Qiu, Chongyi Li, Lichao Huang, Zhizhong Su, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Li, Wei Cheng, Benjamin Riviere, Yue Wu, Masafumi Oyamada, Mengdi Wang, Yisong Yue, Santiago Paternain, Haifeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
Longquan Dai, Wu Ming, Dejiao Xue, wang he, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DISCO: Disentangled Communication Steering for Large Language Models
Max Torop, Aria Masoomi, Masih Eskandar, Jennifer Dy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner, Pramit Saha, Harry Anthony, Alison Noble, Konstantinos Kamnitsas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
Yueyang Yuan, Wenke Huang, Frank Wan, Kaiqi Guan, He Li, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
Sitong Wu, Haoru Tan, Jingyao Li, Shaofeng Zhang, Xiaojuan Qi, Bei Yu, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DMWM: Dual-Mind World Model with Long-Term Imagination
Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
Chenxi Xie, Minghan Li, Shuai Li, Yuhui Wu, Qiaosi Yi, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection
Changhan Liu, xunzhi xiang, Zixuan Duan, Wenbin Li, Qi Fan, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DOTA: Distributional Test-time Adaptation of Vision-Language Models
Zongbo Han, Jialong Yang, Guangyu Wang, Junfan Li, Qianli Xu, Mike Zheng Shou, Changqing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
Zheng Chen, Zichen Zou, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DOVTrack: Data-Efficient Open-Vocabulary Tracking
Zekun Qian, Ruize Han, Zhixiang Wang, Junhui Hou, Wei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment
Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee, Yeonhong Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DPA: A one-stop metric to measure bias amplification in classification datasets
Bhanu Tokas, Rahul Nair, Hannah Kerner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
Yunseon Choi, Minchan Jeong, Soobin Um, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution
Rongyuan Wu, Lingchen Sun, Zhengqiang ZHANG, Shihao Wang, Tianhe Wu, Qiaosi Yi, Shuai Li, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding
Yunhai Hu, Tianhua Xia, Zining Liu, Rahul Raman, Xingyu Liu, BO BAO, Eric Sather, Vithursan Thangarasa, Sai Qian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Hao Li, Xiaogeng Liu, CHIU Chun, Dianqi Li, Ning Zhang, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering
Jiakai Li, Rongzheng Wang, Yizhuo Ma, Shuang Liang, Guangchun Luo, Ke Qin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks
Wentao Wu, Shiyuan He, Jianhua Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
Chengtai Li, Yuting He, Jianfeng Ren, Ruibin Bai, Yitian Zhao, Xudong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
JaeYun Lee, Jae Hyeon Park, Gyoomin Lee, Bogyeong Kim, Min Hee Cha, Hyeok Nam, Joo Jeon, Hyunse Lee, Sung In Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu, Fanjiang Ye, Hao Feng, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
YUANTIAN SHAO, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, yiwu yao, Zhihui Wei, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
Xiao Han, ZIMO ZHAO, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data Fusion for Partial Identification of Causal Effects
Quinn Lanners, Cynthia Rudin, Alexander Volfovsky, Harsh Parikh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
Xinran Gu, Kaifeng Lyu, Jiazheng Li, Jingzhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
Thomson Yen, Andrew Siah, Haozhe Chen, C. Guetta, Tianyi Peng, Hongseok Namkoong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
Xu Yang, Chen Liu, Ying Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data-Adaptive Exposure Thresholds under Network Interference
Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data-Dependent Regret Bounds for Constrained MABs
Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
Zeyu Wang, Yidan Song, Shihao Qin, Shanqing Yu, Yujin Huang, Qi Xuan, Xin Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DataRater: Meta-Learned Dataset Curation
Dan Andrei Calian, Greg Farquhar, Iurii Kemaev, Luisa Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom Schaul, Jeff Dean, Hado P van Hasselt, David Silver
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dataset Distillation for Pre-Trained Self-Supervised Vision Models
George Cazenavette, Antonio Torralba, Vincent Sitzmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim, Dongwook Kim, Jae-Young Sim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality
Alex Fang, Hadi Pouransari, Matt Jordan, Alexander Toshev, Vaishaal Shankar, Ludwig Schmidt, Tom Gunter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeCaFlow: A deconfounding causal generative model
Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
Xiangyu Hong, Che Jiang, Kai Tian, Biqing Qi, Youbang Sun, Ning Ding, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
Hyeong Kyu Choi, Xiaojin Zhu, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models
Lingshun Kong, Jiawei Zhang, Dongqing Zou, Fu Lee Wang, Jimmy S. REN, Xiaohe Wu, Jiangxin Dong, Jinshan Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
Danni Yang, Zhikang Chen, Sen Cui, Mengyue Yang, Ding Li, Abudukelimu Wuerkaixi, Haoxuan Li, Jinke Ren, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
Zhe Zhao, HaiBin Wen, Xianfu Liu, Rui Mao, Pengkun Wang, Liheng Yu, Linjiang Chen, Bo An, Qingfu Zhang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, yelong shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decoding Causal Structure: End-to-End Mediation Pathways Inference
Yulong Li, Xiwei Liu, feilong tang, Ming Hu, Jionglong Su, Zongyuan Ge, Imran Razzak, Eran Segal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
Donghao Luo, Xue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components
Abel Jansma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decomposing motor units through elimination for real-time intention driven assistive neurotechnology
Nicholas Tacca, Bryan Schlink, Jackson Levine, Mary K. Heimann, Collin Dunlap, Sam Colachis, Philip Putnam, Matthew Zeglen, Daniel Brobston, Austin Bollinger, José Pons, Lauren Wengerd, Eric Meyers, David Friedenberg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decomposing stimulus-specific sensory neural information via diffusion models
Steeve Laquitaine, Simone Azeglio, Carlo Paris, Ulisse Ferrari, Matthew Chalk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decoupled Entropy Minimization
Jing Ma, Hanlin Li, Xiang Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models
Wei Chen, Xin Yan, Bin Wen, Fan Yang, Tingting Gao, Di ZHANG, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard, Olivier Wintenberger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Compositional Phase Diffusion for Long Motion Sequence Generation
Ho Yin Au, Jie Chen, Junkun Jiang, Jingyu Xiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Continuous-Time State-Space Models for Marked Event Sequences
Yuxin Chang, Alex Boyd, Cao (Danica) Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, andrew warrington
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
Dongkwan Lee, JunHoo Lee, Nojun Kwak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting
Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas, Jifei Song, Jiankang Deng, Gim Hee Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Learning with Plausible Deniability
Wenxuan Bao, Shan Jin, Hadi Abdullah, Anderson Nascimento, Vincent Bindschaedler, Yiwei Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Legendre Transform
Aleksey Minabutdinov, Patrick Cheridito
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments
Riley Simmons-Edler, Ryan Badman, Felix Berg, Raymond Chua, John Vastola, Joshua Lunger, William Qian, Kanaka Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
Zekun Wang, Ethan Haarer, Tianyi Zhu, Zhiyi Dai, Christopher MacLellan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Tree Tensor Networks
Chang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences
Joshua Ashkinaze, Hua Shen, Saipranav Avula, Eric Gilbert, Ceren Budak
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding
Xiaoyi Zhang, Zhaoyang Jia, Zongyu Guo, Jiahao Li, Bin Li, Houqiang Li, Yan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deep learning for continuous-time stochastic control with jumps
Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis
Dongheon Lee, Younghoo Kwon, Jung-Woo Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Hanting Chen, Xiaozhe Ren, Yasheng Wang, Lu Hou, Lifeng Shang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeepHalo: A Neural Choice Model with Controllable Context Effects
Shuhan Zhang, Zhi Wang, Rui Gao, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
Haiduo Huang, Jiangcheng Song, Yadong Zhang, Pengju Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
Jinyoung Park, Jeehye Na, Jinyoung Kim, Hyunwoo J. Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
Li Sun, Zhenhao Huang, Ming Zhang, Philip S Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang, Shuo He, Haobo Wang, Bingquan Shen, Lei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
Yaming Yang, Ziyu Zheng, Weigang Lu, Zhe Wang, Xinyan Huang, Wei Zhao, Ziyu Guan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Yixian Shen, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
Naoki Nishikawa, Rei Higuchi, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · NeurIPS
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
Jie Ma, NING QU, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, su zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
Qingwen Zhang, Xiaomeng Zhu, Yushan Zhang, Yixi Cai, Olov Andersson, Patric Jensfelt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeltaFormer: Unlock the state space of Transformer
Mingyu Xu, Tenglong Ao, Jiaao He, Jianqiao Lu, Guang Shi, Mingwu Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
Xihang Yue, Yi Yang, Linchao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Julien Siems, Timur Carstensen, Arber Zela, Frank Hutter, Massimiliano Pontil, Riccardo Grazzi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
Qing Zhao, Weijian Deng, Pengxu Wei, ZiYi Dong, Hannan Lu, Xiangyang Ji, Liang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Delving into Large Language Models for Effective Time-Series Anomaly Detection
JUN WOO PARK, Kyudan Jung, Dohyun Lee, Hyuck Lee, DAEHOON GWAK, ChaeHun Park, Jaegul Choo, Jaewoong Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO
Chengzhuo Tong, Ziyu Guo, Renrui Zhang, Wenyu Shan, Xinyu Wei, Zhenghao Xing, Hongsheng Li, Pheng-Ann Heng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
Qiannan Zhang, Manqi Zhou, Zilong Bai, Chang Su, Fei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Demystifying Language Model Forgetting with Low-rank Example Associations
Xisen Jin, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
Chen Qian, Dongrui Liu, Haochen Wen, Zhen Bai, Yong Liu, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Demystifying Spectral Feature Learning for Instrumental Variable Regression
Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir Kostic, Arthur Gretton
Machine Learning
日本大学: 関与なし（対象大学）