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
SGERA: Stein-Guided ECG-Report Alignment for ECG Representation Learning
Jian Chen, Yipeng Du, Wenhao Yuan, Shuai Wang, Jinfeng Xu, Zewei Liu, Running Zhao, Edith Ngai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
Zhuguanyu Wu, Ruihao Gong, Yang Yong, Yushi Huang, Xiangyu Fan, Lei Yang, Dahua Lin, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
Na Li, Hangguan Shan, Wei Ni, Wenjie Zhang, Xinyu Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization
Menghao Lv, Huiqiong Wang, Li Sun, Mingli Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SHERPA: Fine-tuning Segment Anything Models with Task-relevant Guidance
Jingcheng Xie, Yinda Chen, Xiaoyu Liu, Haoyuan Shi, Zhiwei Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
Yewei Liu, Xiyuan Wang, Yansheng Mao, Yoav Gelberg, Haggai Maron, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SI-IGCL: Subject Invariance-aware Inverse Graph Contrastive Learning for Psychiatric Disorder Identification
Jiayu Lu, Yujin Wang, Xiaofeng Liu, Dandan Li, Bin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
ZONGHENG GUO, Tao Chen, Yang Jiao, Yi Pan, Xiao Hu, Manuela Ferrario
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
Wenyuan Zhao, Rui Tuo, Chao Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising
Chengwei Zhang, Xueyi Zhang, Tao Jiang, Xinhao Xu, Wenjie Li, Fubo Zhang, Longyong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
Lorenz K. Muller, Philippe Bich, Jiawei Zhuang, Ahmet Çelik, Luca Benfenati, Lukas Cavigelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
Xiaomeng Yang, Mengping Yang, Junyan Wang, Zhijian Zhou, Zhiyu Tan, Hao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation
Baoquan Zhang, Bingqi Shan, Shihao Fang, Kenghong Lin, Xutao Li, Yunming Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
Linyong Gan, Zimo Li, Wenxin XU, Xingjian Li, Jianhua Huang, Enmei Tu, Shuhang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SL-VC: A Benchmark and Automated Framework for Separation Logic Verification Condition Proving
Hanyang Wang, Xiwei Wu, Qinxiang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLAE: Strictly Local All-atom Environment for Protein Representation
Yilin Chen, Tianyu Lu, Cizhang Zhao, Hannah Wayment-Steele, Po-Ssu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling
Xiang Fang, Wanlong Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLASH the Sink: Sharpening Structural Attention Inside LLMs
Yiming Liu, Bin Lu, Xinbing Wang, Chenghu Zhou, Meng Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
Jian Yao, Xiongcai Luo, Ran Cheng, KC Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLIM: Secure and Efficient Inference for Large Language Models on Untrusted Devices via TEEs
Wei Wang, Zihao Guan, Xing Zhou, Yan Ding, Yusong Tan, Jie Yu, Bao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection
Chenxu Wang, Yuxuan Li, Yunheng Li, Xiang Li, Jingyuan Xia, Qibin Hou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SLQ: Bridging Modalities via Shared Latent Queries for Retrieval with Frozen MLLMs
Haoran Lou, Ziyan Liu, Chunxiao Fan, Yuexin Wu, Yue Ming, Hao Wu, Kai Zuo, Yibo Chen, Xu Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer
Nathan S. de Lara, Florian Shkurti
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SMART: Scalable Mesh‑free Aerodynamic Simulations from Raw Geometries using a Transformer‑based Surrogate Model
Jan Hagnberger, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SMD: Multi-view Safety-Critical Driving Video Generation in the Real-world Domain
Jiawei Zhou, Linye Lyu, Zhuotao Tian, Cheng Zhuo, YU LI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SMILE: Extended Deep Submodular Function-Based Instruction and In-context Learning Demonstration Selection
Zihan Chen, Chengshuai Shi, Song Wang, Jundong Li, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks
Xiubo Liang, Jinxing Han, Yuke Li, Haoqi Zhu, Yu Zhao, Hongzhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SOLAR for Offline MARL: Plateau-Triggered Potential Shaping under World-Model Uncertainty
Jusheng Zhang, Yijia Fan, Ruiqi Chen, Jing Yang, Ziliang Chen, Yongsen Zheng, Yanxi Chen, Jian Wang, Kwok Yan Lam, Liang Lin, Keze Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval
Wenjie Yang, Hang Yu, Yuyu Guo, Peng Di
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SONAR: Spectral‑Contrastive Audio Residuals for Generalizable Deepfake Detection
Ido Nitzan Hidekel, Gal Lifshitz, Khen Cohen, Dan Raviv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SOPE: Situation-Aware and Statistically Indistinguishable Privacy Exfiltration for MCP-enabled Agents
Ruixiao Lin, Qingming Li, Jiahao Chen, Chunyi Zhou, Shouling Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SORA: Free Second-Order Attacks in Fast Adversarial Training
Mazdak Teymourian, Ramtin Moslemi, Farzan Rahmani, Mohammad H Rohban
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport
Simon Roschmann, Paul KRZAKALA, Sonia Mazelet, Quentin Bouniot, Zeynep Akata
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis
YuCheng Yuan, Ji Yuanfeng, Zhongxiao Li, Ruijiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
Kexian Tang, Jiani Wang, Shaowen Wang, Kaifeng Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPADA: A Verifiable Test-Driven Agent for Controllable Parametric CAD Assembly Generation
Keyou Zheng, Xuyang Su, Jiewu Leng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPAR: Support-Preserving Action Rectification
Jiaxin Zhao, Weihang Pan, xun liang, Binbin Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs
Niccolò Avogaro, Nayanika Debnath, Li Mi, Thomas Frick, Junling Wang, Zexue He, Hang Hua, Konrad Schindler, Mattia Rigotti
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance–Diversity Data Selection
Shuhao Chen, Weisen Jiang, Yeqi Gong, Shengda Luo, Chengxiang Zhuo, Zang Li, James Kwok, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning
Qifan Yu, Xinyu Ma, Zhijian Zhuo, Minrui Wang, Deyi Liu, Shiyi Zhan, Yiyuan Ma, liang xiang, Xingyan Bin, Di He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
Jin Lee, Zhonghao Chen, Xuhang He, Robert Underwood, Bogdan Nicolae, Franck Cappello, Xiaoyi Lu, Sheng Di, Zheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
Zhenglun Kong, Mufan Qiu, John Boesen, xiang lin, Sukwon Yun, Tianlong Chen, Manolis Kellis, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
Xiaoyu Yang, Yifan Yang, Zengrui Jin, Ziyun Cui, Wen Wu, Baoxiangli, Chao Zhang, Phil Woodland
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
Talor Abramovich, Maor Ashkenazi, Izzy Putterman, Benjamin Chislett, Tiyasa Mitra, Bita Darvish Rouhani, Ran Zilberstein, Yonatan Geifman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
Qiuhong Shen, Xingyi Yang, Xinyin Ma, Gongfan Fang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning
Lirui Luo, Guoxi Zhang, Hongming Xu, Cong Fang, Qing Li
Machine Learning
日本大学: 京都大学
2026 · ICML
SPLIT-VLM: Salience-Guided Partitioning towards Local Coverage for Importance-Aware Token Dropping in Vision-Language Models
Seungil Lee, Gilha lee, Hyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPR-RAFT: Parameter-Efficient Regression-Aware Fine-Tuning for Biomedical LLM Regression
Yuanlin Yang, Chenhui Li, Xuhao Guo, ANQI ZHANG, Hoi Leong Lee, Haodong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPR: A Structured Prompt Refinement Network for Modality Missing
Hao Chen, Diwei Su, Zhuo Wang, Zuwang He, Menglu Chen, Xiuxing Li, Xia Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
Chenqi Yan, Zhaoyu Zeng, Yifeng Yang, Jundong Zhou, Zhuoyuan Ni, Junqi Wu, Qinying Gu, Xinbing Wang, Nanyang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SRPO: Self-Reflective Policy Optimization for Long-Horizon Reasoning
Jialong Liu, Yuling Shi, Ning Yang, Xiaodong Gu, Zuchao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models
Sunoh Kim, Daeho Um
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space
Zhenyi Shen, Junru Lu, Lin Gui, Jiazheng Li, Yulan He, di yin, Xing Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SSDCN: Spatial-Spectral Dual-Clustering-based Network for Hyperspectral Image Super-resolution
Yong Yang, Xuran Zhang, Shuying Huang, Xiaozheng Wang, Weiguo Wan, Hangyuan Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
Xiaojun Guo, Runyu Zhou, Yifei Wang, Qi Zhang, Chenheng Zhang, Stefanie Jegelka, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
Zhengxuan Wei, Yi Dong, Zonghui Li, Xianhui Lin, Xing Liu, Hong Gu, Shaofeng Zhang, Wenbin Li, Qi Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
Hongjiang Chen, Xin Zheng, Pengfei Jiao, Huan Liu, Zhidong Zhao, Huaming Wu, Feng Xia, Shirui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding
Keuntae Kim, Beomseok Lee, Hyunwoo Kim, Yong Suk Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics–Physics Dual System
Zhen Luo, Yixuan Yang, Xudong XU, Jinkun Hao, Zhaoyang Lyu, Feng Zheng, Jiangmiao Pang, Yanwei Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
Sailendra Akash Bonagiri, Gerard Anderias, Saee Patil, Angelina Lai, Devang Borkar, Gezheng Kang, Ishant Gandhi, Setareh Rafatirad, Houman Homayoun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STAND: Self-Aware Precondition Induction for Interactive Task Learning
Daniel Weitekamp, Glen Smith, Ken Koedinger, Christopher MacLellan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control
Priyansh Bhatnagar, Ashkan Moradifirouzabadi, Se-Hyun Yang, SeungJae Lee, Jungwook Choi, Mingu Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation
Huadai Liu, Wen Wang, Kaicheng Luo, Qian Chen, Xiangang Li, Wei Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning
Sumin Park, Noseong Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits
Foivos Paraperas Papantoniou, Stathis Galanakis, Rolandos Alexandros Potamias, Bernhard Kainz, Stefanos Zafeiriou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STARE: Step-wise Temporal Alignment and Red-teaming Engine for Multi-modal Toxicity Attack
Xutao Mao, Liangjie Zhao, Tao Liu, Xiang Zheng, Hongying Zan, Cong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STD-Former: Image-Conditioned Texture Dictionary Encoding with Sparse Topological Supervision for Texture Recognition
Bo Peng, Ke Xu, Yurui Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STEP: Warm-Started Visuomotor Policies with Spatiotemporal Consistency Prediction
Jinhao Li, Yuxuan Cong, Yingqiao Wang, Hao Xia, Shan Huang, Yijia Zhang, Ningyi Xu, Guohao Dai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
Kiet Bennema ten Brinke, Koen Minartz, Vlado Menkovski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STLA: Spatiotemporal Lookahead Alignment for Post-Training Quantization
Zuqi Zhang, Chenghe Sun, Xiangyi Chu, Wei-Han Yu, Ka-Fai Un, Rui Martins, Pui-In Mak, Jiawei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STORM: Segment, Track, and Object Re-Localization from a Single Image
Yu Deng, Teng Cao, Hikaru Shindo, Quentin Delfosse, Jiahong Xue, Kristian Kersting
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories
Daiheng Zhang, Shiyang Zhang, Sizhuang He, Yangtian Zhang, Syed Rizvi, David van Dijk
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
STT-LLM: Structural-Temporal Tokenization for Adapting LLMs to Longitudinal Clinical Profiles
Maxx Richard Rahman, Mostafa Hammouda, Wolfgang Maass
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SURF: Separation via Unsupervised Remixing Flow
Henry Li, Robin Scheibler, Efthymios Tzinis, Matt Shannon, Arnaud Doucet, john hershey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
Lifu Wei, Yinuo Ren, Naichen Shi, Yiping Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
Haoyu Huang, Boyu Liu, Linlin Yang, Yanjing Li, Yuguang Yang, Xuhui Liu, Canyu Chen, Zhongqian Fu, Baochang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SVD as a Fast Interpretability Method for Transformers
Min Xue, Artur Andrzejak
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding
Xuerui Qiu, Shaowei Gu, Peixi Wu, JiaKui Hu, Yaozhi Wen, Yuqi Pan, Xinhao Luo, Bo XU, Guoqi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
Franki Nguimatsia-Tiofack, Fabian Schramm, Théotime Le Hellard, Justin Carpentier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SVRG and Beyond via Posterior Correction
Nico Daheim, Thomas Moellenhoff, James Ming Liang Ang, Mohammad Emtiyaz Khan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark
Boxi Yu, Yang Cao, Yuzhong Zhang, Liting Lin, Junjielong Xu, Zhiqing Zhong, Qinghua Xu, Guancheng Wang, Jialun Cao, Shing-Chi Cheung, Pinjia He, Lionel BRIAND
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
Jingxuan Xu, Ken Deng, Weihao Li, Songwei Yu, Haoyang Huang, Xinping Lei, Yifan Yao, Huaixi Tang, Zhiyi Lai, Kepeng Lei, Zizheng Zhan, Yanan Wu, Chenchen Zhang, Wenqiang Zhu, wen xiang, Zongxian Feng, Han Li, Junqi Xiong, Dailin Li, GAO Zuchen, Kun Wu, Yuanxing Zhang, Wuxuan Gong, Ziyuan Gao, Guanxiang Wang, Yirong Xue, Mengfei Xie, Xiaojiang Zhang, Jinghui Wang, Wenhao Zhuang, Zheng Lin, Huiming Wang, Zhaoxiang Zhang, Yuqun Zhang, Haotian Zhang, Ming Sun, chenbin, Jiaheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-IF: Aligning Code Evaluation with Human Preference
Ming Zhong, Xiang Zhou, Ting-Yun Chang, Qingze Wang, Nan Xu, Xiance Si, Dan Garrette, Shyam Upadhyay, Jeremiah Zhe Liu, Jiawei Han, Benoit Schillings, Jiao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents
Danlong Yuan, Wei Wu, Zhengren Wang, Xueliang Zhao, Huishuai Zhang, Dongyan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?
Xinyi He, Qian Liu, Mingzhe Du, Lin Yan, ZhiJie Fan, Yiming Huang, Yin Zheng, Zejian Yuan, Zejun MA
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
Jeffrey Ma, Milad Hashemi, Amir Yazdanbakhsh, Kevin Swersky, Ofir Press, Enhui Li, Vijay Janapa Reddi, Parthasarathy Ranganathan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
Ibragim Badertdinov, Maksim Nekrashevich, Anton Shevtsov, Aleksandr Golubev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SWING: Unlocking Implicit Graph Representations for Graph Random Features
Alessandro Manenti, Kumar Avinava Dubey, Arijit Sehanobish, Cesare Alippi, Krzysztof Choromanski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SaTeen: Learning Structural Alignment for Continual Test-Time Adaptation
Chang Liu, Ruotong Zhao, Li Gao, Yupei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
Yunqi Xue, Zhijiang Li, Phil Torr, Jindong Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Safe In-Context Reinforcement Learning
Amir Moeini, Minjae Kwon, Alper Bozkurt, Yuichi Motai, Rohan Chandra, Lu Feng, Shangtong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Safe Reinforcement Learning with Preference-based Constraint Inference
Chenglin Li, Grant Ruan, Hua Geng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Safe and Scalable Web Agent Learning via Recreated Websites
Hyungjoo Chae, Jungsoo Park, Alan Ritter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SafeCompass: Dynamic Chain-of-Thought Steering via Inference-Time Safety Signals
Zeyang Zhang, HAOTIAN XU, Linbao Li, Qi Sun, Xuebo Liu, YU LI, Cheng Zhuo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SafeDec: Constrained Decoding for Safe Autoregressive Generalist Robot Navigation Policies
Parv Kapoor, Akila Ganlath, Michael Clifford, Changliu Liu, Sebastian Scherer, Eunsuk Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
Zhe Liu, Zhe Liu, Wenxin Zhang, Quanchen Zou, Deyue Zhang, Dongdong Yang, Xiangzheng Zhang, Hao Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
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Machine Learning
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2026 · ICML
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日本大学: 関与なし（対象大学）
2026 · ICML
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日本大学: 関与なし（対象大学）