ICML

2022–2026 LIVE

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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
Causal Dependency-Aware Unsupervised Routing for Large Reasoning Models
Jiacheng Liu, Hao Liu, Xiaofeng Hou, Wei Xue, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Detection of Multi-Step LLM Agent Attacks
Viraaji Mothukuri, Reza M. Parizi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
Chu Zhao, Enneng Yang, Jianzhe Zhao, Guibing Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Discovery for Irregularly Time Series with Consistency Guarantees
Weihong Li, Baohong Li, Anpeng Wu, Zhihan Li, Ming Ma, Keting Yin, Kun Kuang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Disentangled Anchor Learning for Scalable Fair Multi-view Clustering
Suyuan Liu, Shengfei Wei, Wenjing Yang, Shengju Yu, Siwei Wang, Xueqiong Li, Wenpeng Lu, Xinwang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary Variables
Xiu-Chuan Li, James Kwok, Jiaxian Guo, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Feature Learning via Generalized Rayleigh Quotients
Liang Cao, Jun Wan, Yan Qin, Weide Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Fine-Tuning under Latent Confounded Shift
Jialin Yu, Yuxiang Zhou, Haoxuan Li, Junchi Yu, Mengyue Yang, Yulan He, Nevin Zhang, Phil Torr, Ricardo Silva
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
Hongzhou Zhu, Min Zhao, Guande He, Hang Su, Chongxuan Li, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Identification from Counterfactual Data: Completeness and Bounding Results
Arvind Raghavan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Matrix Completion under Multiple Treatments via Mixed Synthetic Nearest Neighbors
Minrui Luo, Zhiheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Modeling of Selection in Evolution
Haoyue Dai, Zeyu Tang, Peter Spirtes, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Preference Elicitation
Edwin V. Bonilla, He Zhao, Daniel M Steinberg
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Representation Learning with Optimal Compression and Complex Treatments
Wanting Liang, Haoang Chi, Zhiheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal Structure Learning for Sparse Matrix Fill-in Reduction
Ziwei Li, Shuzi Niu, Tao Yuan, Huiyuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal discovery for time series with endogenous context variables
Oana-Iuliana Popescu, Wiebke Günther, Martin Rabel, Jakob Runge
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
Lei Tong, Zhihua Liu, Chaochao Lu, Dino Oglic, Tom Diethe, Philip Teare, Sotirios Tsaftaris, Chen Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal-EPIG: Causally Aligned Active CATE Estimation
Erdun Gao, Jake Fawkes, Dino Sejdinovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal-JEPA: Learning World Models through Object-Level Latent Masking
Heejeong Nam, Quentin Le Lidec, Lucas Maes, Yann LeCun, Randall Balestriero
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causal-aware Anomaly Detection for Tabular Data
Dang Nguyen, Tu Anh Hoang Nguyen, Thuc Le, Svetha Venkatesh, Trung Le, Sunil Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution
Minbeom Kim, Mihir Parmar, Phillip Wallis, Lesly Miculicich, Kyomin Jung, Krishnamurthy Dvijotham, Long T. Le, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CausalGame: Benchmarking Causal Thinking of LLM Agents in Games
Zhenhao Chen, Yongqiang Chen, Chenxi Liu, Junchi Yu, Xiangchen Song, Zijian Li, Jialin Li, Phil Torr, Bo Han, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
Panayiotis Panayiotou, Audrey Poinsot, Alessandro Leite, Nicolas CHESNEAU, Marc Schoenauer, Özgür Şimşek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CausalRAG2: Hierarchical Causal Knowledge Graph Design for RAG
Nengbo Wang, Tuo Liang, Vikash Singh, Chaoda Song, Van Yang, Yu Yin, Jing Ma, JAGDIP SINGH, Vipin Chaudhary
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal Forecasting
Shiqi Zhang, Pan Mu, HantingYan, Yuchao Zhu, jinglin zhang, Cong Bai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
Yanming Zhang, Eric Papenhausen, Klaus Mueller
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causally Evaluating the Learnability of Formal Language Tasks
Vésteinn Snæbjarnarson, Anej Svete, Josef Valvoda, Reda Boumasmoud, Brian DuSell, Ryan Cotterell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
Weize Li, Yang Li, Quan Yuan, Xiaoyuan Fu, Guiyang Luo, Jinglin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Causes and Consequences of Representational Similarity in Machine Learning Models
Zeyu Michael Li, Hung Anh Vu, Damilola Awofisayo, Emily Wenger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
Silas Ruhrberg Estevez, Nicolas Huynh, Tennison Liu, Roderik Kortlever, Gerard Evan, David Bentley, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis
Hengrui Lou, Weihan Li, Jiazhen Yang, Lingxiang Jia, Shengxuming Zhang, Linyun Zhou, Xiuming Zhang, Zhenyang Wang, Mingli Song, Zunlei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Censoring with Plausible Deniability: Asymmetric Local Privacy for Multi-Category CDF Estimation
Qirui Hu, Yi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CentaurEval: Benchmarking Human-in-the-Loop Value in Agentic Coding
Hanjun Luo, Chiming Ni, Jiaheng Wen, Zhimu Huang, Bingduo Liao, Sylvia Chung Yan Shan, Yiran Wang, Yingbin Jin, Jialin Li, Xinfeng Li, Wenyuan Xu, XiaoFeng Wang, Hanan Salam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural Consolidation
Nethmi Jayasinghe, Diana Gontero, Spencer Brown, Vinod Sangwan, Mark Hersam, Amit Trivedi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
Leyi Qi, Yiming Li, Siyuan Liang, Zhengzhong Tu, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE
Yuanteng Chen, Peisong Wang, Nanxin Zeng, Yuantian Shao, Shuang Qiu, Gang Li, Jing Liu, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Certificate-Guided Pruning for Stochastic Lipschitz Optimization
Ibne Farabi Shihab, SANJEDA AKTER, Anuj Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Certificates for Complex-Compatible Learned Cochain Laplacians
Nivar Anwer, Marien Chenaud, David Elizondo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Certified Circuits: Stability Guarantees for Mechanistic Circuits
Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz, Jonas Fischer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
Blaise Delattre, Hengyu WU, Paul Caillon, Wei Yang Bryan Lim, YANG CAO
Machine Learning
日本大学: 東京科学大学
2026 · ICML
Certifying Capabilities from Finite Tests: When Is It Possible?
Changlong Wu, Jin Sima, Wojciech Szpankowski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Certifying Graph Neural Networks Against Label and Structure Poisoning
Lukas Gosch, Xichuan Chen, Yan Scholten, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding
ZHIXUAN WU, Quanxing Zha, Teng Wang, Genbao Xu, Wenyuan Gu, Wei Rao, Nan Ma, Bo Cheng, Soujanya Poria
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
Jinwoo Choi, Sang-Hyun Lee, Seung-Woo Seo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chain-of-Thought Gradient Descent
Hong-Yu Chen, Venkat Ganti, Hude Liu, Jerry Yao-Chieh Hu, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
Iván Arcuschin, Jett Janiak, Robert Krzyzanowski, Senthooran Rajamanoharan, Neel Nanda, Arthur Conmy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
Hengyuan Cao, Shizhuo Cheng, Mingxuan Liu, Weicheng Huang, Yunhong Lu, chenxi cai, Yan Zhang, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting
Dongyuan Li, Renhe Jiang, Shun Zheng, Zheng Dong, Haotian Gao, Ying Zhang, Jiang Bian
Machine Learning
日本大学: 東京大学
2026 · ICML
ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
Chang Liu, Bohao Zhao, Jingtao Ding, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization
Mohamed Chiheb Yaakoubi, Cosme Louart, Malik TIOMOKO, Zhenyu Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Characterizing Agents in Production
Melissa Pan, Negar Arabzadeh, Riccardo Cogo, Yuxuan Zhu, Alexander Xiong, Lakshya A Agrawal, Huanzhi Mao, Emma Shen, Sid Pallerla, Liana Patel, Shu Liu, Tianneng Shi, Xiaoyuan Liu, Jared Davis, Emmanuele Lacavalla, Alessandro Basile, Shuyi Yang, Paul Castro, Daniel Kang, Koushik Sen, Dawn Song, Joseph E Gonzalez, Ion Stoica, Matei Zaharia, Marquita Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment
Kaijun Zhou, Qiwei Chen, Da Peng, Zhiyang Li, Xijun Li, Jinyu Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Characterizing the Effect of Noise in Language Generation in the Limit
Aaron Li, Ian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
Divyam Madaan, Sumit Chopra, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Characterizing, Evaluating, and Optimizing Complex Reasoning
Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart Editing
Shuo Li, Jiajun Sun, Zhekai Wang, Xiaoran Fan, Hui Li, Dingwen Yang, Zhiheng Xi, Yijun Wang, Zifei Shan, Tao Gui, Qi Zhang, Xuanjing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
Mickel Liu, Liwei Jiang, Yancheng Liang, Simon Du, Yejin Choi, Tim Althoff, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics - Rotating Detonation Engines
Yuxuan Bao, Jan Zajac, Megan Powers, Venkat Raman, J. Nathan Kutz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
Stefan Huber, Hannes Unger, Georg Schäfer, Jakob Rehrl
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chiral Symmetry Breaking in Transformers: A Group-Equivariant Framework for Addressing the Reversal Curse via Adjoint Manifold Mappings
Hanji Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Chunk-Guided Q-Learning
Gwanwoo Song, Kwanyoung Park, Youngwoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Vision-Language Models
Chengcheng Wang, Jianyuan Guo, Hongguang Li, Yuchuan Tian, Ying Nie, Chang Xu, Kai Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CircuitPrint: Mechanistic Circuit Fingerprints for Large Language Models
Zhenxiong Yan, Suhang Yao, Yu Liu, Wenqiang Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CiteGuard: Conformal False-Discovery Control for Faithful Retrieval-Augmented Generation
Xiangyu Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
Bo Yuan, Zelin Zhao, Petr Molodyk, Bin Hu, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao, Qiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
Haemin Park, Diego Klabjan, Martin Braun, Xiuqi Li, Balakrishnan Ananthanarayanan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Class-Prior Perturbation-Robust Regularization for Imbalanced Unreliable Partial Label Learning
Congyu Qiao, Haohao Dong, Xin Geng, Ning Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ClimateAR: Multi-Scale Autoregressive Generative Modeling for Climate Forecasting
Yue Yu, Weiqi Chen, Binqing Wu, Dongliang Cui, Wanyi Jiang, Zongjiang Shang, Bo Wu, Liang Sun, Ling Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
Zhitao He, Haolin Yang, Zeyu Qin, Yi Fung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clipped Q-Learning: Your Value Clipping Is Secretly A Robust Operator
Zhishuai Liu, Pan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary Signals
Shuo Yang, Jinda Lu, Chiyu Ma, Kexin Huang, Haoming Meng, Qihui Zhang, Yuyang Liu, Bolin Ding, Guoyin Wang, Li Yuan, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clipping Low-Probability Tokens in SFT Yields a Generalizable Initialization for RL
Tian-Shuo Liu, Chengxing Jia, Haoyu Liu, Pengyuan Wang, Shiyuan Zhang, Jie Fu, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers
Samuel Erickson, Mikael Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Closing the Expression Gap in LLM Instructions via Socratic Questioning
Jianwen Sun, Yukang Feng, Yifan Chang, Chuanhao Li, Zizhen Li, Jiaxin Ai, Fanrui Zhang, Yu Dai, Kaipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Closing the Loop: Universal Repository Representation with RPG-Encoder
Jane Luo, Chengyu Yin, Xin Zhang, Qingtao Li, Steven Liu, Yiming Huang, Jie Wu, Hao Liu, Yangyu Huang, Yu Kang, Fangkai Yang, Ying Xin, Scarlett Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Closing the Sim-to-Real Gap in Non-Markovian Spreading Processes via GPU-Accelerated Distributional RL
Heman Shakeri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
Md Mahmuddun Nabi Murad, Yasin Yilmaz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clustered Influence Functions
Miklós Máté Badó, Kristian Fenech
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning
Xuanting Xie, Zhaochen Guo, Bingheng Li, Xingtong Yu, Zhifei Liao, zhao kang, Yuan Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Clustering in Deep Stochastic Transformers
Lev Fedorov, Michael Sander, Romuald Elie, Pierre Marion, Mathieu Lauriere
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Co-Evolving Latent Action World Models
Yucen Wang, Fengming Zhang, De-Chuan Zhan, Li Zhao, Kaixin Wang, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Co-Generative De Novo Functional Protein Design
XinRui Chen, YIZHEN LUO, Siqi Fan, Zaiqing Nie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents
Pengfei He, Ash Fox, Lesly Miculicich, Stefan Friedli, Daniel Fabian, Burak Gokturk, Jiliang Tang, Chen-Yu Lee, Tomas Pfister, Long T. Le
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning
Yuhui WU, Chenxi Xie, Ruibin Li, Liyi Chen, Qiaosi Yi, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
Siyi Wang, Shihong Tan, Siyi Liu, Hong Jia, Gongping Huang, James Bailey, Ting Dang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoCoQuant: Breaking the Bandwidth Wall via Co-Optimized Communication and Computation Quantization
Haojie Duanmu, Jifeng Ding, Size Zheng, Xuegui Zheng, Jiangfei Duan, Xingcheng ZHANG, Li-Wen Chang, Xin Liu, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
Hexuan Deng, Xiaopeng Ke, Yichen Li, Ruina Hu, Dehao Huang, Derek F. Wong, Yue Wang, Xuebo Liu, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoD-Lite: Real-Time Diffusion-Based Generative Image Compression
Zhaoyang Jia, Naifu Xue, Zihan Zheng, Jiahao Li, Bin Li, Xiaoyi Zhang, Zongyu Guo, Yuan Zhang, Houqiang Li, Yan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks?
Yuxin Zhang, Ju Fan, Meihao Fan, Shaolei Zhang, Xiaoyong Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoEvol-NO: State and Coordinate Co-Evolution with an Error-Driven Predictor-Corrector Paradigm for Neural Operator Transformer
Jianqiao Zeng, Ruocheng Wang, Yanzhi Liu, Hao Xiong, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation
Chengzhuo Tong, Chang Mingkun, Shenglong Zhang, Yuran Wang, Cheng Liang, Zhizheng Zhao, Bohan Zeng, Yang Shi, Ruichuan An, Yifan Dai, Ziming Zhao, Guanbin Li, Pengfei Wan, Yuanxing Zhang, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoFrGeNet: Continued Fraction Architectures for Language Generation
Amit Dhurandhar, Vijil Chenthamarakshan, Dennis Wei, Tejaswini Pedapati, Karthikeyan Natesan Ramamurthy, Rahul Nair
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
Luyao Tang, Jiewei Zheng, Kunze Huang, Chaoqi Chen, Yue Huang, Cheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting
Mingyue Cheng, Yaguo Liu, Daoyu Wang, Xiaoyu Tao, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly Detection
Ke Xu, Xinle Wang, Yanning Hou, Xueliang Ma, Juan Xie, Jianfeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
Xiaoji Zheng, Ziyuan Yang, Yanhao Chen, Yuhang PENG, Yuanrong Tang, Gengyuan Liu, Bokui Chen, Jiangtao Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
Wish Suharitdamrong, Tony Alex, Muhammad Awais, Sara Atito
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning
Yuxuan Liu, Weikai Xu, Kun Huang, Changyu Chen, Jiankun Zhao, Pengzhi Gao, Wei Liu, Jian Luan, Shuo Shang, Bo Du, Ji-Rong Wen, Rui Yan
Machine Learning
日本大学: 関与なし（対象大学）