ICML

2022–2026 LIVE

著者一覧 · 国際会議 · 大学ランキング

ICML 公式サイト ↗

Machine Learning

2026 · 6,341 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。

2026 · ICML
Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training
Anglin Liu, Ruichao Chen, Yi Lu, Hongxia Xu, Jintai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Med-SegLens: Latent-Level Model Diffing for Interpretable Medical Image Segmentation
Salma Ahmed, Emad Mohammed, Azam Bidgoli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
Ziyuan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedCoG: Maximizing LLM Inference Density in Medical Reasoning via Meta-Cognitive Regulation
Yu Zhao, Hao Guan, Yongcheng Jing, Ying Zhang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
Da Zhang, bingyu li, Zhiyuan Zhao, Hongyuan Zhang, Junyu Gao, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio
Harshit Rajgarhia, Shuubham Ojha, Asif Shaik, Akhil Pothanapalli, Rachuri Lokesh, Abhishek Mukherji, Prasanna Desikan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts
Shujun Xia, Haokun Lin, Yichen WU, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, Quanzheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models
Aofei Chang, Le Huang, Alex Boyd, parminder bhatia, Taha Kass-Hout, Fenglong Ma, Cao Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling
Wenjie Li, Yujie Zhang, Haoran Sun, Xingqi He, Hongcheng Gao, Chenglong Ma, Ming Hu, Guankun Wang, Shiyi Yao, Renhao Yang, Hongliang Ren, Lei Wang, Junjun He, Yankai Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Meerkat-VL: Implicit Risk Safety Alignment in Multimodal LLMs via Perceptual Reasoning and Self-Verification
Peicheng Zhou, Chuanbin Liu, Shancheng Fang, Bowei Pu, Yiwei Sun, Zhangchi Hu, Hongtao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mem-T: Densifying Rewards for Long-Horizon Memory Agents
Yanwei Yue, Guibin Zhang, Boci Peng, Xuanbo Fan, Jiaxin Guo, Qiankun Li, Yan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
Xiaoyu Tao, Mingyue Cheng, Ze Guo, Shuo Yu, Yaguo Liu, Qi Liu, Shijin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MemEvolve: Meta-Evolution of Agent Memory Systems
Guibin Zhang, Haotian Ren, Chong Zhan, Junhao Wang, He Zhu, Wangchunshu Zhou, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MemIncept: Steering LLM Agents via Cooperative Stealthy Memory Injections
Nan Yan, Qian Lou, Jiarong Xing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
Yaorui Shi, Shugui Liu, Yu Yang, Wenyu Mao, Yuxin Chen, Qi GU, Hui Su, Xunliang Cai, Xiang Wang, An Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Membership Inference Attacks for Unseen Classes
Pratiksha Thaker, Neil Kale, Steven Wu, Virginia Smith
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert A Sim, Chetan Bansal, Saravanakumar Rajmohan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory Caching: RNNs with Growing Memory
Ali Behrouz, Zeman Li, Yuan Deng, Peilin Zhong, Meisam Razaviyayn, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory Savings at What Cost? A Study of Alternatives to Backpropagation
Kunjal Panchal, Sunav Choudhary, Yuriy Brun, Hui Guan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory as Dynamics: Learning Reliability-Guided Predictive Models for Online Video Perception
Minwoo Kim, Sang Min Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
Kaustubh Vijaykumar Pethkar, Ziyang Xiong, Zuofeng Shang, Yingcong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
Shuo Ji, yibo li, Bryan Hooi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory-Distilled Selection for Noise-Robust Anomaly Detection
Sirojbek Safarov, Jaewoo Park, Yoon Gyo Jung, Kuan-Chuan Peng, Wonchul Kim, Seongdeok Bang, Octavia Camps
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
Athanasios Glentis, Jiaxiang Li, Andi Han, Mingyi Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling
Qiao Xiao, Boqian Wu, Patrik Okanovic, Tomasz Sternal, Maurice Keulen, Elena Mocanu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Torsten Hoefler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
Qingyao Ai, Yichen Tang, Changyue Wang, Jianming Long, Weihang Su, Yiqun LIU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers
Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MentisOculi: Revealing the Limits of Reasoning with Mental Imagery
Jana Zeller, Thaddäus Wiedemer, Fanfei Li, Thomas Klein, Prasanna Mayilvahanan, Matthias Bethge, Felix Wichmann, Ryan Cotterell, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Merge to Remember: Sharpness-Aware Isotropic Merging for Continual Learning
Qun Yang, Enneng Yang, Wei Chen, Li Shen, Long Lan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
Jiapeng Wang, Changxin Tian, Kunlong Chen, ziqi liu, Jiaxin Mao, Xin Zhao, Zhiqiang Zhang, JUN ZHOU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mesh Based Simulations with Spatial and Temporal awareness
Paul Garnier, Vincent Lannelongue, Elie Hachem
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mesh Field Theory: Port–Hamiltonian Formulation of Mesh-Based Physics
SATOSHI NOGUCHI, Yoshinobu Kawahara
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers
Zhao Yanshun, Xiaoyu Peng, Jiamin Jiang, Congcong Zhu, Jingrun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Message Passing on the Edge: Towards Scalable and Expressive GNNs
Pablo Barcelo, Fabian Jogl, Alexander Kozachinskiy, Matthias Lanzinger, Stefan Neumann, Cristobal Rojas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective
Yancheng Chen, Dun Ma, Shuai Zhang, Yang Liu, Xixun Lin, Xiangyu Zhao, Wenguo Yang, Wei Chen, Chuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Meta Context Engineering via Agentic Skill Evolution
Haoran Ye, Xuning He, Vincent Arak, Haonan Dong, Guojie Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Meta Flow Maps enable scalable reward alignment
Peter Potaptchik, Adhi Saravanan, Abbas Mammadov, Alvaro Prat, Michael Albergo, Yee-Whye Teh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
Yukun Du, Haiyue Yu, Jiang Jiang, Shuaiwen Tang, Xiaotong Xie, Haobo Liu, Chongshuang Hu, Shengkun Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Meta-iLaD: Identifiable Latent Dynamics via Meta-Learning of Dynamics Environments
Yubo Ye, Sweekar Piya, Xiajun Jiang, Linwei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Meta-learning Structure-Preserving Dynamics
Cheng Jing, Uvini Mudiyanselage, Woojin Cho, Minju Jo, Anthony Gruber, Kookjin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Metadynamics
Xiaochen Du, Juno Nam, Jaemoo Choi, Wei Guo, Sathya Edamadaka, Junyi Sha, Elton Pan, Yongxin Chen, Molei Tao, Rafael Gomez-Bombarelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
Weisen Jiang, Shuhao Chen, Sinno Jialin Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MetaOthello: A Controlled Study of Multiple World Models in Transformers
Aviral Chawla, Galen Hall, Juniper Lovato
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MetaPerch: Learning from metadata for bioacoustics foundation models
Mustafa Chasmai, Vincent Dumoulin, JJ Hamer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MetaStreet: Semi-Supervised Multimodal Learning for Street-Level Socioeconomic Prediction
Meng Chen, Junjie Yang, Zechen Li, Kai Zhao, Hongjun Dai, Weiming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MetaphorVU: Towards Metaphorical Video Understanding
Zhuoqun Li, Boxi Cao, Guiping Jiang, Fangrui Lv, Ruotong Pan, Jianan Wang, Xiangyu Wu, Hongyu Lin, Yaojie Lu, Yong Du, Ruyin Jia, Liyan, Tingting Gao, Han Li, Xianpei Han, Le Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
Huilin Zhou, Jian Zhao, Yilu Zhong, Zhen Liang, Xiuyuan Chen, Yuchen Yuan, Tianle Zhang, Chi Zhang, Lan Zhang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Metric—Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds
Jiayi Kong, Xuhui Chen, Chen Zong, Fei Hou, Junhui Hou, Wenping Wang, Ying He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MiVE: Multiscale Vision-language features for reference-guided video Editing
Tong Wang, Meng Zou, WU CHENGJING, Xiaochao Qu, Luoqi Liu, Xiaolin Hu, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MidSteer: Optimal Affine Framework for Steering Generative Models
Tatiana Gaintseva, Andrew Stepanov, Ziquan Liu, Martin Benning, Gregory Slabaugh, Jiankang Deng, Ismail Elezi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Midtraining Bridges Pretraining and Posttraining Distributions
Emmy Liu, Graham Neubig, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Milestone-Guided Policy Learning for Long-Horizon Language Agents
Zixuan Wang, Yuchen Yan, Hongxing Li, Teng Pan, Dingming Li, Ruiqing Zhang, Weiming Lu, Jun Xiao, Yueting Zhuang, Yongliang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds
Shaojun Xu, Xiaoling Zhou, Yihan Lin, Yapeng Meng, Xinglong Ji, Luping Shi, Rong Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL
Guojian Zhan, Likun Wang, Pengcheng Wang, Feihong Zhang, Jingliang Duan, Kaicheng Yu, Masayoshi Tomizuka, Shengbo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
Muquan Li, Yingyi Ma, Yihong Huang, Hang Gou, KE QIN, Ming Li, Yuan-Fang Li, Tao He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind the Budget: Accelerating Deep Reinforcement Learning using Constrained Early Exit Neural Networks
Julien Brosseit, Jasper Hoffmann, Joschka Boedecker
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind the Gap: Catching Hallucinations via Evidence Drop on the Reasoning Manifold
QunJie Chen, Yufei Chen, Xiaodong Yue, Linye Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
Huikang Liu, Aras Selvi, Wolfram Wiesemann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind the Gap: Structure-Aware Consistency in Preference Learning
Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind the State: Towards Unified, Context-Aware EEG-to-fMRI Synthesis
Yamin Li, Shiyu Wang, Chang Li, Ange Lou, Haatef Pourmotabbed, Sarah Goodale, Dario Englot, Daniel Moyer, Roza G Bayrak, Catie Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
Yizhuo Lu, Changde Du, Qingyu Shi, Hang Chen, Jie Peng, Liuyun Jiang, Shuangchen Zhao, Huiguang He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MindFlow: Mind Supernet Powered Thinking Flows for Research Idea Innovation
Mengdi Liu, Wenjue Chen, Wenyue Chen, Cheng Yang, Fanqi Kong, Zhangyang Gao, Xiaoxue Cheng, Yiheng Li, Yujian Yuan, Keliang Li, Hong Chang, Shiguang Shan, Chenglin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MindZero: Learning Online Mental Reasoning With Zero Annotations
Shunchi Zhang, Jin Lu, Chuanyang Jin, Yichao Zhou, Zhining Zhang, Tianmin Shu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MineDraft: A Framework for Batch Parallel Speculative Decoding
Zhenwei Tang, Arun Verma, Zijian Zhou, Zhaoxuan Wu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants
Zuhao zhang, Chengyue Yu, Yuante Li, Chenyi Zhuang, Linjian Mo, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification
Connor T Jerzak, Priyanshi Chandra, Rishi Hazra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can, Eli Waxman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching
Prayas Agrawal, Prateek Chanda, Ishita Khatri, Ganesh Ramakrishnan, Bamdev Mishra, Pratik Kumar Jawanpuria
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
Harin Lee, Kevin Jamieson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minimax-Optimal Policy Regret in Partially Observable Markov Games
Raman Arora
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
Ke Sun, Guangsheng Bao, Han Cui, Yue Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
Shixin Liu, Ming Gao, Jian Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Minimum Distance Summaries for Robust Neural Posterior Estimation
Sherman Khoo, Dennis Prangle, Song Liu, Mark Beaumont
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mining Tensor/Neuron-Level Sparsity to Maximize Mixture-of-Experts Potential in Post-Training and Inference
Weilin Cai, Le Qin, Shwai He, Junwei Cui, Ang Li, Jiayi Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mining Useful General Data for Low-Resource Domain Adaptation
Pingjie Wang, Hongcheng Liu, Yusheng Liao, Ziqing Fan, Yaxin Du, shuo tang, Yanfeng Wang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mirror Descent Actor Critic via Bounded Advantage Learning
Ryo Iwaki
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mirror Descent Under Generalized Smoothness
Dingzhi Yu, Wei Jiang, Hongyi Tao, Yuanyu Wan, Lijun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mirror Mean-Field Langevin Dynamics
Anming Gu, Juno Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Bias in Locally Constrained Decoding via Tractable Proposals
Meihua Dang, Linxin Song, Honghua Zhang, Jieyu Zhao, Guy Van den Broeck, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Conversational Inertia in Multi-Turn Agents
Yang Wan, Zheng Cao, Zhenhao Zhang, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Linchao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
Yin Tang, Jiawei Ma, Jinrui Zhang, Alex Jinpeng Wang, Deyu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Error Propagation in Low-Rank Approximation of Large Models via Distribution-Aware Whitening
Yao Zhu, Rui Sun, Xiu Yan, Yang Li, Wang Lu, Yunjian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Gradient Pathology in PINNs through Aligned Constraint
Yichen Luo, Peiyu Zhu, Dongxiao Hu, Jia Wang, Tailin Wu, Dapeng Lan, Yu Liu, Zhibo Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating
Zhe Cheng, Wenyu Chen, Fode Zhang, Dehuan Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment
Seunghan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
Yingxuan Zhuang, Jingxiao Yang, Miao Pan, Cheng Tan, Yuxiang Cai, Siwei Tan, Chen Zhi, Xuhong Zhang, Jianwei Yin, Jintao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
Sujung Hong, Chanyong Yoon, Seong Jae Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Noise-Induced Layout Priors for Object Counting in Diffusion Models
Xiaoling Gu, Xuelong Li, Shengqi Wu, Yongkang Wong, wu, Huan Li, Zhou Yu, Mohan Kankanhalli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
Seojeong Park, Jiho Choi, Junyong Kang, Seonho Lee, Jaeyo Shin, Hyunjung Shim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Plasticity Loss through Architectural Design in Continual Learning
Niklas Koeppe, Luiz Felipe Vecchietti, Dongqi Han, Dongsheng Li, Sang Wan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling
Giorgio Giannone, Guangxuan Xu, Nikhil Nayak, Rohan Awhad, Shivchander Sudalairaj, Kai Xu, Akash Srivastava
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
Heyu Chen, Junkang Wu, Guoqing Hu, Kexin Huang, Xiang Wang, Jiancan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling
Zhibin Duan, Guowei Rong, Zhuo Li, Bo Chen, Mingyuan Zhou, Dandan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
Hyunji Jung, Sungbin Shin, Namhoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion Model
Danush Kumar Venkatesh, Adam Schmidt, Muhammad Abdullah Jamal, Omid Mohareri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
Hongbin Zhang, Kehai Chen, Xuefeng Bai, Youcheng Pan, Yang Xiang, Jinpeng Wang, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
Yuanshuai Li, Yuping Yan, Junfeng Tang, Zeqi Zheng, Yaochu Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization
Shigui Li, Delu Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating the Modality Gap in Vision–Language Models with Fractal Spectral Geometry
Zihan Zhou, Yang Zhou, Ruoming Jin, Pan He, Patrick Emami
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mitigating the Safety–Utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
Yanbo Wang, Minzheng Wang, Jian Liang, Lu Wang, Yongcan Yu, Ran He
Machine Learning
日本大学: 関与なし（対象大学）