ICML

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICML 公式サイト ↗

Machine Learning

2025 · 3,330 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 · ICML
Controlled Generation with Equivariant Variational Flow Matching
Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem Van De Meent
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Controlling Large Language Model with Latent Action
Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
Md Yousuf Harun, Jhair Gallardo, Christopher Kanan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
Zhangyi Liu, Feng Liu, Rui Gao, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin
Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Core Context Aware Transformers for Long Context Language Modeling
Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao, Bingyang Wang, Haoran Sun, Haiyun Lyu, Robert D. Hawkins, Nuno Vasconcelos, Tal Golan, Dezhi Luo, Hokin Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Correlated Errors in Large Language Models
Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Correlation Clustering Beyond the Pivot Algorithm
Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad, Alma Ghafari, Weiyun Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cost-efficient Collaboration between On-device and Cloud Language Models
Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott Linderman, James Zou, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang, Mingxiu Cai, Hanxiao Wang, Gaochang Wu, Tianyou Chai, Xiatian Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo, Goran Radanovic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Counterfactual Graphical Models: Constraints and Inference
Juan D. Correa, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
Chang Liu, Yixin Wang, Moontae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement
Rohan Shenoy, Evan Austen Coleman, Hans Gaensbauer, Elsa Olivetti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
Freya Behrens, Luca Biggio, Lenka Zdeborova
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cover learning for large-scale topology representation
Luis Scoccola, Uzu Lim, Heather A. Harrington
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Covered Forest: Fine-grained generalization analysis of graph neural networks
Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cradle: Empowering Foundation Agents towards General Computer Control
Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
Mikel Malagón, Josu Ceberio, Jose A. Lozano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability
Zicheng Lin, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xing Wang, Ruilin Luo, Chufan Shi, Siheng Li, Yujiu Yang, Zhaopeng Tu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cross-City Latent Space Alignment for Consistency Region Embedding
Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, Kai Zhao, Hongjun Dai, Weiming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cross-Modal Alignment via Variational Copula Modelling
Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cross-regularization: Adaptive Model Complexity through Validation Gradients
Carlos Stein Brito
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao, Mahyar Najibi, Sachin Mehta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Curse of High Dimensionality Issue in Transformer for Long Context Modeling
Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
CursorCore: Assist Programming through Aligning Anything
Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover, Geoffrey J. Gordon, Christos Faloutsos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman, Omri Azencot
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Curvature-aware Graph Attention for PDEs on Manifolds
Yunfeng Liao, Jiawen Guan, Xiucheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
Zijing Hu, Fengda Zhang, Kun Kuang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse, Patrick Knab, Sascha Marton, Christian Bartelt, Margret Keuper
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space
Mang Ning, Mingxiao Li, Jianlin Su, Jia Haozhe, Lanmiao Liu, Martin Benes, Wenshuo Chen, Albert Ali Salah, Itir Onal Ertugrul
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DEALing with Image Reconstruction: Deep Attentive Least Squares
Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
Tobias Braun, Mark Rothermel, Marcus Rohrbach, Anna Rohrbach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann Lecun, Lerrel Pinto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DIS-CO: Discovering Copyrighted Content in VLMs Training Data
André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel, Jiequn Han, Edouard Oyallon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DLP: Dynamic Layerwise Pruning in Large Language Models
Yuli Chen, Bo Cheng, Jiale Han, Yingying Zhang, Yingting Li, Shuhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yinghao Aaron Li, Rithesh Kumar, Zeyu Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning
Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DPO Meets PPO: Reinforced Token Optimization for RLHF
Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DRAG: Data Reconstruction Attack using Guided Diffusion
Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DS-VLM: Diffusion Supervision Vision Language Model
Zhen Sun, Yunhang Shen, Jie Li, Xing Sun, Pingyang Dai, Liujuan Cao, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge
Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence
Yang Jiao, Kai Yang, Chengtao Jian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
Ibrahim Fayad, Max Zimmer, Martin Schwartz, Fabian Gieseke, Philippe Ciais, Gabriel Belouze, Sarah Brood, Aurélien De Truchis, Alexandre D’Aspremont
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DVI:A Derivative-based Vision Network for INR
Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao, Zongren Li, Kunlun He, Jinli Suo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
Yuan Li, Zhengzhong Liu, Eric Xing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh, Bryan Wilder
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
Gen Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
Wei Fan, Kejiang Chen, Chang Liu, Weiming Zhang, Nenghai Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
Samantha Chen, Pankaj K Agarwal, Yusu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
De-mark: Watermark Removal in Large Language Models
Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DeFoG: Discrete Flow Matching for Graph Generation
Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O’Hara, Theodoros Damoulas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani, George J. Pappas, Aaron Roth, Hamed Hassani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
Kyle Heuton, Frederick Muench, Shikhar Shrestha, Thomas J. Stopka, Michael C Hughes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
Junyi Liao, Zihan Zhu, Ethan X Fang, Zhuoran Yang, Vahid Tarokh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decomposition of Graphic Design with Unified Multimodal Model
Hui Nie, Zhao Zhang, Yutao Cheng, Maoke Yang, Gonglei Shi, Qingsong Xie, Jie Shao, Xinglong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Decoupled SGDA for Games with Intermittent Strategy Communication
Ali Zindari, Parham Yazdkhasti, Anton Rodomanov, Tatjana Chavdarova, Sebastian U Stich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Bayesian Filter for Bayes-Faithful Data Assimilation
Yuta Tarumi, Keisuke Fukuda, Shin-Ichi Maeda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Electromagnetic Structure Design Under Limited Evaluation Budgets
Shijian Zheng, Fangxiao Jin, Shuhai Zhang, Quan Xue, Mingkui Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Fuzzy Multi-view Learning for Reliable Classification
Siyuan Duan, Yuan Sun, Dezhong Peng, Guiduo Duan, Xi Peng, Peng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
Blake Bordelon, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Neural Cellular Potts Models
Koen Minartz, Tim D’Hondt, Leon Hillmann, Jörn Starruß, Lutz Brusch, Vlado Menkovski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
Yinfeng Chen, Jin Liu, Rui Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Reinforcement Learning from Hierarchical Preference Design
Alexander Bukharin, Yixiao Li, Pengcheng He, Tuo Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda
Machine Learning
日本大学: 京都大学
2025 · ICML
Deep Streaming View Clustering
Honglin Yuan, Xingfeng Li, Jian Dai, Xiaojian You, Yuan Sun, Zhenwen Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
David Vigouroux, Joseba Dalmau, Louis Béthune, Victor Boutin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Deep Unsupervised Hashing via External Guidance
Qihong Song, Xiting Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DeepCrossAttention: Supercharging Transformer Residual Connections
Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, Mohammadhossein Bateni, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
DeepLayout: Learning Neural Representations of Circuit Placement Layout
Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Qiang Xu, Runsheng Wang, Yibo Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo
Machine Learning
日本大学: 関与なし（対象大学）