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
PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios
Xudong LU, Guan Huankang, Yang Bo, Jinpeng Chen, Xintong Guo, Shuhan LI, Fang Liu, Peiwen Sun, Xueying Lee, Wei Zhang, Xue Yang, Rui Liu, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PhotoAgent: Exploratory Visual Aesthetic Planning with Large Vision Models
Mingde Yao, Zhiyuan You, King-Man Tam, Menglu Wang, Tianfan Xue
Machine Learning
日本大学: 東京科学大学
2026 · ICML
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Spectral Super-Resolution for Snapshot Compressive Imaging
Wudi Chen, Zhiyuan Zha, Xin Yuan, Shigang Wang, Bihan Wen, Jiantao Zhou, Gang Yan, zipei fan, Ce Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PhyScene3D: Physically Consistent 3D Interactive Tabletop Scene Generation
Weixing Chen, Zhuoqian Feng, Yang Liu, Yexin Zhang, Yifan Wen, Yinghong Liao, Weichao Qiu, Guanbin Li, Liang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World
Yunhan Yang, Chunshi Wang, Junliang Ye, YANG LI, Zanxin Chen, Zehuan Huang, Yao Mu, Zhuo Chen, Chunchao Guo, Xihui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions
Jihyun Lee, Changmin Lee, Donghwan Kim, Tae-Kyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physically-Guided Data-Space Rectified Flow for Precipitation Nowcasting
Wenjie Luo, chaorong li, Chuanhu Deng, Zhuo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions
Yuanyuan Wang, Wenjie Wang, Kun Zhang, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
Woojung Han, Seil Kang, Youngjun Jun, Min-Hung Chen, Fu-En Yang, Seong Jae Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-Guided Motion Loss for Video Generation Model
Bowen Xue, Giuseppe Guarnera, Shuang Zhao, Zahra Montazeri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-Informed Diffusion Models in Spectral Space
Davide Gallon, Philippe von Wurstemberger, Patrick Cheridito, Arnulf Jentzen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
Yi Zhang, Peng Wang, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-Informed Pre-training on Efficient Electron-Density Images for Organic Material Property Prediction
Zhixiang Cheng, Hongxin Xiang, Mingquan Liu, Tengfei Ma, Yingzhuo Tu, Wenjie Du, Bosheng Song, Yiping Liu, xiangxiang Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-Informed Residual Flows
Jephte Abijuru, Mayank Kumar Nagda, Phil Sidney Ostheimer, Sebastian Vollmer, Marius Kloft, Sophie Fellenz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-informed Neural Operator Learning for Nonlinear Grad-Shafranov Equation
Siqi Ding, Zitong Zhang, Shi Guoyang, LiXingYu, Xiang Gu, Y.N.Xu, Huasheng Xie, Hanyue Zhao, YUEJIANG SHI, tianyuan liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physics-informed coarsening for multigrid graph neural networks surrogates
Amir Bazzi, Ramy Nemer, Alves José, Elie Hachem
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physiology as Language: Translating Respiration to EEG during Sleep
Kaiwen Zha, Chao Li, Hao He, Peng Cao, Tianhong Li, Ali Mirzazadeh, Ellen Zhang, Jong Lee, Yoon Kim, Dina Katabi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
Hao Zhou, Simon Lee, Cyrus Tanade, Keum San Chun, Juhyeon Lee, Migyeong Gwak, Megha Thukral, Justin Sung, Eugene Hwang, Mehrab Bin Morshed, Li Zhu, Viswam Nathan, Mahbubur Rahman, Subramaniam Venkatraman, Sharanya Desai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
Hong-Jie You, Jie-Jing Shao, Xiao-Wen Yang, Lin-Han Jia, Lan-Zhe Guo, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PinTok: Tokenizers Deserve Dedicated Pinned CPU-Compute and Memory
Sean Choi, Myungheon Chin, Ernest Ryu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
Han Yunhe, Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, Yitong Duan, Pei Xiao, Yanfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning
Guoyizhe Wei, Yang Jiao, Nan Xi, Zhishen Huang, Jingjing Meng, Rama Chellappa, Yan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PixCLIP: Towards Fine-grained Vision-Language Understanding via Any-granularity Pixel-Text Alignment
Yicheng Xiao, Yu Chen, Hao-Xuan Ma, Jiale Hong, Caorui Li, Lingxiang Wu, Haiyun Guo, Jinqiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plain Transformers are Surprisingly Powerful Link Predictors
Quang Truong, Yu Song, Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plan Then Action: High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Zhang Dinggen, Weida Wang, Benteng Chen, Towsif Raiyan, Qingtao Pan, Yang Ouyang, Chaoda Song, Zhiqiang Gao, shufei zhang, Sumon Biswas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models
Omer Luxembourg, Haim Permuter, Eliya Nachmani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation
Zhixuan Shen, Jiawei Du, Ziyu Guo, Han Luo, Lilan Peng, Joey Tianyi Zhou, Haonan Luo, Tianrui Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plan, Decouple, Assimilate: Physics-Aware Object Insertion in Remote Sensing Imagery
Yingyan Hou, Xianchi Dong, Chao Ren, Wanxuan Lu, Zihan Wei, Hongfeng Yu, Yixiao Wang, Xian Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Planar Symmetric Pattern Generation
Ning Lin, Luxi Chen, Huaguan Chen, Jiacheng Cen, Chongxuan Li, Wenbing Huang, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plasticity Activation via Polar Operator: A Plug-in Method for Balancing Stability and Plasticity
Guodong Zheng, Enneng Yang, Xiaoyan Wang, Yihan Chen, Feihong He, Quan Zheng, Peng Wang, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Platonic Transformers: A Solid Choice For Equivariance
Mohammad Mohaiminul Islam, Rishabh Anand, David Wessels, Friso de Kruiff, Thijs Kuipers, ZHITAO YING, Clara Sánchez, Sharvaree Vadgama, Georg Bökman, Erik Bekkers
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization
Jiajun Zhang, Jianke Zhang, Zeyu Cui, Jiaxi Yang, Lei Zhang, Zilei Wang, Qiang Liu, Liang Wang, Binyuan Hui, Junyang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik, Vijay Prakash Dwivedi, Johannes Hoffart, Carlos Guestrin, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
Jannis Becktepe, Aleksandra Franz, Nils Thuerey, Sebastian Peitz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
Chenhe Du, Xuanyu Tian, Qing Wu, Muyu Liu, Jingyi Yu, Hongjiang Wei, Yuyao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction
Hongkun Dou, Zike Chen, fengji Li, Hongjue Li, Yue Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plug-and-Play Label Map Diffusion for Universal Goal-Oriented Navigation
Zhixuan Shen, Yijie Zeng, Shengxiang Luo, Tianrui Li, Haonan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
Xinzhe Yuan, Xiang Peng, Bin Gu, Huan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PlugGuard: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
Xiaodan Li, Mengjie Wu, Yao Zhu, Yunna Lv, YueFeng Chen, Cen Chen, Jianmei Guo, Hui Xue'
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
Ke Yang, Zixi Chen, Xuan He, Jize Jiang, Michel Galley, Chenglong Wang, Jianfeng Gao, Jiawei Han, Chengxiang Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Pluralistic Leaderboards
Nika Haghtalab, Ariel Procaccia, Han Shao, Serena Wang, Kunhe Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
Hao Wu, Fan Xu, Yuxu Lu, Penghao Zhao, Fan Zhang, Hao Jia, Yuxuan Liang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang, Yuan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PoMtVRS: Preference-Optimized Multi-Task Vehicle Routing Solver with Preference Gating
Dian Meng, Yaoxin Wu, Yaqing Hou, Zhiguang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification
Xinxing Yu, Liying Yang, Hao Mo, Hui Ma, Fang Kai, Ajian Liu, Yanyan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
Haofei Xu, Rundi Wu, Philipp Henzler, Nikolai Kalischek, Michael Oechsle, Fabian Manhardt, Marc Pollefeys, Andreas Geiger, Federico Tombari, Michael Niemeyer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Poison with Style: A Practical Poisoning Attack on Code Large Language Models
Khang Tran, Yazan Boshmaf, Issa Khalil, Hai Phan, Ting Yu, Md Rizwan Parvez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PolarDepth: Monocular Transparent Object Depth from Polar-Physics Priors
Wen Dong, Haiyang Mei, Yinglian Ji, Zijun Zhang, Wenyuan Zhang, Pengwei Luo, Bo Dong, Shengfeng He, Xin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
Sahil Mishra, Srinitish Srinivasan, Sourish Dasgupta, Tanmoy Chakraborty
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
Rounak Saha, Gurusha Juneja, Dayita Chaudhuri, Naveeja Sajeevan, Nihar Shah, Danish Pruthi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Policy Search via Bayesian Optimization with Temporal Difference Gaussian Processes
Armin Lederer, Anuj Srivastava, Marco Bagatella, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
Jiayu Chen, Le Xu, Aravind Venugopal, Jeff Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PolicyGuard: Towards Test-time and Step-level Adversary Defense for Reinforcement Learning Agent
Junfeng Guo, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free Update
Jianming Ma, Qiyue Yang, Yang Zhang, Liyun Yan, Zhanxiang Cao, Yazhou Zhang, Yue Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding
Panagiotis Koromilas, Andreas Demou, James Oldfield, Yannis Panagakis, Mihalis Nicolaou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Polyphonia: Zero-Shot Timbre Transfer in Polyphonic Music with Acoustic-Informed Attention Calibration
Haowen Li, Tianxiang Li, Yi Yang, Boyu Cao, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PonderLM-2: Pretraining LLM with Latent Thoughts in Continuous Space
Boyi Zeng, He Li, Shixiang Song, Yixuan Wang, Zitong Wang, Ziwei He, Xinbing Wang, Zhouhan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Population-Aware Imitation Learning in Mean-field Games with Common Noise
Grégoire Lambrecht, Mathieu Lauriere
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
Zeyu Zhao, Yueling Che, Kaichen Liu, Jian Li, Junmei Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PortraitRL: Reinforcement Learning for Personalized Portrait Pose Transfer with Multi-Objective Reward Modeling
Jiahui Wu, Zelong Sun, Yanbiao Ma, Zhiwu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization
Xuan Han, Yihao Zhao, Mingyu You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Position Is All You Need: A Free Lunch Token Compression Strategy for MLLM-based Referring Expression Segmentation
Yuhan Liu, Yixiong Zou, Yuhua Li, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Positional Encoding for Spiking Transformers
Zijian Zhou, Yu Liang, Honglin Cao, Ammar Belatreche, Jieyuan Zhang, Wenjie Wei, Shuai Wang, Malu Zhang, Yang Yang, Haizhou Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Positive Distribution Shift as a Framework for Understanding Tractable Learning
Marko Medvedev, Idan Attias, Elisabetta Cornacchia, Theodor Misiakiewicz, Gal Vardi, Nati Srebro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Positive-Unlabeled Learning with Extreme Scarcity of Labeled Positives
Yuanchao Dai, Ximing Li, Wei Wang, Changchun Li, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICML
Positive–Unlabeled Reinforcement Learning Distillation for On-Premise Small Models
Zhiqiang Kou, Junyang Chen, Xin-Qiang Cai, Xiaobo Xia, Ming-Kun Xie, Dong-Dong Wu, Biao Liu, Yuheng Jia, Xin Geng, Masashi Sugiyama, Tat-Seng Chua
Machine Learning
日本大学: 東京大学
2026 · ICML
Possibilistic Predictive Uncertainty for Deep Learning
Yao Ni, Jeremie Houssineau, Yew Soon ONG, Piotr Koniusz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
Kyungjin Im, Miru Kim, Chanin Eom, Minhae Kwon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
Chanwoo Park, Ziyang Chen, Asuman Ozdaglar, Kaiqing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Post-Training Language Models for Crosslingual Consistency
Tianyu Liu, Jirui Qi, Mrinmaya Sachan, Ryan Cotterell, Raquel Fernández, Arianna Bisazza
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Post-Training with Policy Gradients: Optimality and the Base Model Barrier
Alireza Mousavi-Hosseini, Murat Erdogdu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PostTrainBench: Can LLM Agents Automate LLM Post-Training?
Ben Rank, Hardik Bhatnagar, Ameya Pandurang Prabhu, Shira Eisenberg, Karina Nguyen, Matthias Bethge, Maksym Andriushchenko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PosterAgent: Agentic Poster Generation via Stage-Aware Reinforcement Learning
Zhuocheng Yu, Feng Zhang, Sujian Li, Kai Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
Andrew Wagenmaker, Perry Dong, Raymond Tsao, Chelsea Finn, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Posterior Concentration of Bayesian Physics-Informed Neural Networks for Elliptic PDEs
Yuxuan Zhao, Yulong Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness
Lilin Zhang, Li Yue, Jiancheng Shi, Jiancheng Lv, Xianggen Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
Hamish Flynn, Joe Watson, Ingmar Posner, Jan Peters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Power-Boosted Granger-Causal Discovery for Large Heterogeneous Panel Data
Yiheng Gu, Xiufan Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
Ruishuo Chen, Yu Chen, Zhuoran Li, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Powerful and Theoretically Guaranteed Independence Testing on Heterogeneous Federated Clients
YiXin Ren, Hongquan Liu, Juncai Zhang, Yewei Xia, Zichuan Lin, Deheng Ye, Hao Zhang, Jihong Guan, Shuigeng Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Practical Mechanism for Fault-Tolerant Spiking Neural Networks via Simple Input Control Based on Learnable Fragmentation
Hyun-Jong Lee, Jae-Han Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
Sanghoon Yu, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Practical and Scalable Hamiltonian Monte Carlo Without the Metropolis Test
Jakob Robnik, Reuben Cohn-Gordon, Uros Seljak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts
Qinfeng Li, Yuntai Bao, Jianghui Hu, Wenqi Zhang, Jintao Chen, Huifeng Zhu, Yier Jin, Xuhong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Precision-Induced Miscalibration: Understanding and Correcting Confidence Distortion in Quantized Neural Networks
Jiawei Gu, Fengyuan Nie, Hao Tang, Yanpeng Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
Neehal Tumma, Noel Loo, Daniela Rus
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Preconditioning Neural Tangent Kernel for Adaptive Optimization
Xiyuan Yang, Wenxuan Bao, Katherine Tieu, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predictable Compression Failures: Order Sensitivity and Information Budgeting for Evidence-Grounded Binary Adjudication
Leon Chlon, Ahmed Karim, MarcAntonio Awada
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction
Ziyao Tang, Pengkun Jiao, Xinhang Chen, LiuWei Liu, Shiyong Li, Jingjing Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predicting Large Model Test Losses with a Noisy Quadratic System
Chuning Li, Chris Maddison
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predicting What Matters: Robust Generalist Robot Policy Learning via Future Semantic Mask
Yunfan Lou, Xiaowei Chi, Xiaojie Zhang, Zezhong Qian, Chengxuan Li, Rongyu Zhang, yaoxu lyu, Guoyu Song, Chuyao Fu, Haoxuan Xu, Pengwei Wang, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predicting evolutionary rate as a pretraining task improves genome language model representations
Mica Consens, Kevin Yang, James Hall, Ashley Conard, BO WANG, Lorin Crawford, Alan Moses, Alex Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predicting the Emergence of Induction Heads in Language Model Pretraining
Tatsuya Aoyama, Ethan G Wilcox, Nathan Schneider
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predicting the Order of Upcoming Tokens Improves Language Modeling
Zayd Muhammad Kawakibi Zuhri, Erland Hilman Fuadi, Alham Fikri Aji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Prediction-Powered Adaptive Inference with Pretrained AI Models for Contextual Bandits
Gabriel Sargent, Wei Sun, Zhengwu Zhang, Yufeng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
Guangyi Zhang, Yunlong Cai, Guanding Yu, Osvaldo Simeone
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predictive Prefetching for Retrieval-Augmented Generation
Wuyang Zhang, Shichao Pei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Predictive variational inference: Learn the predictively optimal posterior distribution
Jinlin Lai, Antonio Linero, Yuling Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
Guangyu Zhao, Kewei Lian, Haoxuan Ru, Borong Zhang, Haowei Lin, Zhancun Mu, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning
Xiuyuan Wang, Weiming Liu, Hongyu Cai, Xin Gao, Fan Wang, Chaochao Chen, Xiaolin Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Preference-Enhanced Reinforcement Learning for Pluralistic Image Inpainting
Peng Zhou, Muqi Huang, Tianshuo Qu, Jingyang Wang, kun Zhou, Chuan Li, Feng Shi, Shi Chen, Yun Xiong
Machine Learning
日本大学: 関与なし（対象大学）