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
Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers
Leyla Candogan, Arshia Afzal, Pol Puigdemont, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spatial-Aware Reduction Framework: Towards Efficient and Faithful Visual State Space Models
Jindi Lv, Aoyu Li, Yuhao Zhou, Zheng Zhu, Xiaofeng Wang, Qing Ye, Yueqi Duan, Wentao Feng, Jiancheng Lv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpatialJB: How Text Distribution Art Becomes The "Jailbreak Key" for LLM Guardrails
Zhiyi Mou, Jingyuan Yang, ZEHENG QIAN, Wangze Ni, Tianfang Xiao, Ning Liu, Chen Zhang, Zhan Qin, Kui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpatialReward: Bridging the Perception Gap in Online RL for Image Editing via Explicit Spatial Reasoning
Yancheng Long, Yankai Yang, Hongyang Wei, Wei Chen, Tianke Zhang, Haonan Fan, Changyi Liu, Kaiyu Jiang, Jiankang Chen, Kaiyu Tang, Bin Wen, Fan Yang, Tingting Gao, Han Li, Shuo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
Ho Hin Lee, Quan Liu, Shunxing Bao, Yuankai Huo, Bennett Landman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spatially-Regularized Entropy for Discriminative Token Merging in Fine-Grained Re-Identification
Shangze Li, Yifan Xu, Jingmiao Liang, Yongfei Zhang, Yuzhuo Ma, Yingbo Qu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spatio-Temporal LLM: Reasoning about Environments and Actions
Haozhen Zheng, beitong tian, Mingyuan Wu, Zhenggang Tang, Klara Nahrstedt, Alex Schwing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language Models
jing wu, Jianhua Wu, Jiayi Guan, Jiahong Chen, Jinghui Lu, Hangjun Ye, Bingzhao Gao, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spatiotemporal Imputation with Graph-Informed Flow Matching
Zepeng Zhang, Aref Einizade, Jhony H. Giraldo, Olga Fink
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpecExit: Accelerating Large Reasoning Model via Speculative Exit
Rubing Yang, Huajun Bai, Song Liu, Guanghua Yu, Runzhi Fan, Yanbin Dang, Zhang Jiejing, Kai Liu, Jianchen Zhu, Peng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Shenggui Li, Chao Wang, YIKAI ZHU, Yubo Wang, Fan Yin, Shuai Shi, YefeiChen, Xiaomin Dong, Qiaoling Chen, Jin Pan, Ji Li, Yineng Zhang, Lei Yu, Yonggang Wen, Ivor Tsang, Tianwei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpecMD: A Comprehensive Study On Speculative Expert Prefetching
Duc Hoang, Mohammad Samragh, Ajay Jaiswal, Minsik Cho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpecPL: Disentangling Spectral Granularity for Prompt Learning
Jingtao Zhou, Xirui Kang, feiyang huang, Lai Man Po
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning
Hanzhen Wang, Jiaming Xu, Yushun Xiang, Jiayi Pan, Yongkang Zhou, Yong-Lu Li, Guohao Dai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectra: Rethinking Optimizers for LLMs Under Spectral Anisotropy
Zhendong Huang, Hengjie Cao, Fang DONG(董方), Ruijun Huang, Mengyi Chen, Yifeng Yang, Xin Zhang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Jinlong Hou, Qin Lv, Robert Dick, Yuan Cheng, Tun Lu, Fan Yang, Li Shang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows
Yuhang Xi, Yu-Feng Yu, Chuan-Xian Ren, Zhao-Rong Lai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
Arjun Prakash, Naicheng He, Kaicheng Guo, Saket Tiwari, Tyrone Serapio, Ruo Yu Tao, Amy Greenwald, George Konidaris
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
Jinyan Ye, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yingda Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization
Nadhir Hassen, Johan Verjans
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval
Guillaume Braun, Han Bao, Wei Huang, Masaaki Imaizumi
Machine Learning
日本大学: 東京大学
2026 · ICML
Spectral Guidance for Flexible and Efficient Control of Diffusion Models
Gabriel Moreira, Manuel Marques, Joao Costeira, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models
Zhaoyang Li, Yanjun Li, Wangkai Li, Yujia Chen, Tianzhu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation
Hao Gu, Mao-Lin Luo, Zi-Hao Zhou, Han-Chen Zhang, Min-Ling Zhang, Tong Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf, Samuel Tovey, Christian Holm
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral-Informed Neural Networks Outperform Spectral methods in High-dimensional PDEs
Tianchi Yu, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning
Yixian Shen, Zhiheng Yang, Qi Bi, Changshuo Wang, Shuai Wang, JIA-HONG HUANG, George Floros, Prayag Tiwari, Anuj Pathania
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spectrally-Guided Diffusion Noise Schedules
Carlos Esteves, Ameesh Makadia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation
Junhyuk So, Hyunho Kook, Chaeyeon Jang, Eunhyeok Park
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Speculative Safety Honeypot: Toward Proactive Defense Against Multi-turn Agent Attacks
Zezhong WANG, Xueyang Tang, RUI LIAN, Yang Lou, Heqing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Speculative Sampling For Faster Molecular Dynamics
Arthur Kosmala, Stephan Günnemann, Meng Gao, Brandon Wood
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Speech-Audio Compositional Attacks on Multimodal LLMs and Their Defense with SALMONN-Guard
Yudong Yang, Xuezhen Zhang, Zhifeng Han, Siyin Wang, Jimin Zhuang, Zengrui Jin, Jing Shao, Guangzhi Sun, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpeedCP: Fast Kernel-based Conditional Conformal Prediction
Yating Liu, Yeo Jin Jung, Zixuan Wu, So Won Jeong, Claire Donnat
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpeedVFI: One-step Diffusion for Efficient Video Frame Interpolation
Ganggui Ding, Xiaogang Xu, Hao Chen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Speedup Patch: Learning a Plug-and-Play Policy to Accelerate Embodied Manipulation
Zhichao Wu, Junyin Ye, Zhilong Zhang, Yihao Sun, Haoxin Lin, Jiaheng Luo, Haoxiang Ren, lei yuan, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spherical Procrustes Alignment for Reliable Medical Audio Diagnosis
ying wang, Guoheng Huang, Chan-Tong Lam, Xiaochen Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spherical SO(3) Equivariant Local Attention
Yusuke Sekikawa, Jun Nagata, Itsumi Araki, Ruka Eto
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spherical Steering: Geometry-Aware Activation Rotation for Language Models
Zejia You, Chunyuan Deng, Hanjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion
Antoine Schnepf, Karim Kassab, Flavian Vasile, Andrew Comport
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spik4lite: Refactoring Neuromorphic Sparsity for Efficient Spiking Neural Networks on Commodity Edge Devices
Yongzhi She, Qihua Zhou, Yuhao Wang, Yaodong Huang, Laizhong Cui, Jingcai Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spike Camera Autofocus via Frequency-Domain Spectral-Centroid Migration
Xijie Xiang, Lin Zhu, Yonghong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition
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
SpikeCLR: Self-Supervised Contrastive Learning for Visual Representations with Spiking Neural Networks
Chengwei Zhou, Gourav Datta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing
Zhouzhiming Zhou, Yong He, Chaoxu Mu, Qiaoyun Wu, Ajmal Mian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks
Ruiqi Song, Dujun Nie, Siyu Teng, Baiyong Ding, Xiaotong Zhang, Dong Li, Chenming Zhang, Yuchen Li, Hangbin Wu, Long Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit
Fan Wang, Hengyu Yue, Yu Bowen, Weiming Liu, Zongxin Yang, Xuyun Zhang, Xiaolin Zheng, Chaochao Chen, Shuiguang Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpikingLM: Towards Fully Spiking Language Model
Yu Liang, Zijian Zhou, Wenjie Wei, Shuai Wang, Honglin Cao, Ammar Belatreche, Yu Yang, Malu Zhang, Yang Yang, Haizhou Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spiral RoPE: Rotate Your Rotary Positional Embeddings in the 2D Plane
Haoyu Liu, Sucheng Ren, Tingyu Zhu, Peng Wang, Cihang Xie, Alan Yuille, Zeyu Zheng, Feng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
Zhaoyang Li, Zhichao You, Tianrui Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Split Group Knockoffs: Controlling False Discovery Rate in Transformational Group Sparsity
Siqi Chen, Yachen Gao, Yanwei Fu, Xinwei Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities
Florian Dietz, William Wale, Oscar Gilg, Robert McCarthy, Felix Michalak, Gustavo Danon, Miguelito De Guzman, Dietrich Klakow
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Sponge Tool Attack: Stealthy Denial-of-Efficiency against Tool-Augmented Agentic Reasoning
Qi Li, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
Srivatsa Kundurthy, Clara Na, Michael Handley, Zach Kirshner, Chen Bo Calvin Zhang, Manasi Sharma, Emma Strubell, John Ling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
Christian Moya, Alex Semendinger, Guang Lin, Elliott Thornley
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
Lecheng Yan, Ruizhe Li, Guanhua CHEN, Qing Li, Jiahui Geng, Wenxi Li, Longyue Wang, Chenyang Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Spurious Rewards: Rethinking Training Signals in RLVR
Rulin Shao, Stella Li, Rui Xin, Scott Geng, Yiping Wang, Sewoong Oh, Simon Du, Nathan Lambert, Sewon Min, Ranjay Krishna, Yulia Tsvetkov, Hannaneh Hajishirzi, Pang Wei Koh, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
Nilaksh, Antoine Clavaud, Mathieu Reymond, Francois Rivest, Sarath Chandar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stability Analysis of Sharpness-Aware Minimization
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise
Hongxu Chen, Ke Wei, Xiaoming Yuan, Luo Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments
Qianqian Lei, Soham Bonnerjee, Yuefeng Han, Wei Biao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
Sina Mansouri, Mohit Marvania, Abolfazl Safikhani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing Equation Learning via Zero-Point Constraints
Sannyuya Liu, Ao Chen, Lin Liu, Ruxia Liang, Xiaoxuan Shen, Jianwen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
Ana Sanchez Fernandez, Thomas Pinetz, Werner Zellinger, Günter Klambauer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing MoE Reinforcement Learning by Aligning Training and Inference Routers
Wenhan Ma, Hailin Zhang, Liang Zhao, Yifan Song, Yudong Wang, Fuli Luo, Zhifang Sui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing Native Low-Rank LLM Pretraining
Paul Janson, Edouard Oyallon, Eugene Belilovsky
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing PPO via Latent-Space Regularization and KDE-Driven Exploration
Meiyu Du, Yuqing Gao, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models
Xiao-Wen Yang, Zi-Yu Han, Xi-Hua Zhang, Wen-Da Wei, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing Reinforcement Learning for Diffusion Language Models
Jianyuan Zhong, Wang Kaibo, Ding Ding, Zijin Feng, Haoli Bai, Yang Xiang, Jiacheng Sun, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
Jeong Woon Lee, Kyoleen Kwak, Daeho Kim, Hyoseok Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stable Asynchrony: Variance-Controlled Off-Policy RL for LLMs
Luke Huang, Zhuoyang Zhang, Qinghao Hu, Shang Yang, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
Ali Saheb pasand, Johan Obando-Ceron, Aaron Courville, Pouya Bashivan, Pablo Samuel Castro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stable Localized Conformal Prediction via Transduction
Yinjie Min, Liuhua Peng, Changliang Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stable Spectral Copula Alignment for Robust Multimodal Learning
Hongkang Zhang, Shao-Lun Huang, Yanlong Wang, Ercan KURUOGLU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stable Velocity: A Variance Perspective on Flow Matching
Donglin Yang, Yongxing Zhang, Xin Yu, Liang Hou, Xin Tao, Pengfei Wan, XIAOJUAN QI, Renjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stable-GFlowNet: Toward Diverse and Robust LLM Red-Teaming via Contrastive Trajectory Balance
Minchan Kwon, Sung Hyun Baek, Minseo Kim, Jaemyung Yu, Dongyoon Han, Junmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
StableI2I: Spotting Unintended Changes in Image-to-Image Transition
Jiayang Li, Shuo Cao, Xiaohui Li, Zhizhen Zhang, Kaiwen Zhu, Yule Duan, Yu Qiao, Jian Zhang, Yihao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
StableVLA: Towards Robust Vision-Language-Action Models without Extra Data
Yiyang Fu, Chubin Zhang, Shukai Gong, Yufan Deng, Kaiwei Sun, Qiyang Min, Qibin Hou, Yansong Tang, Jianan Wang, Zhou Daquan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stage-wise Distortion–Perception Traversal in Zero-shot Inverse Problems with Diffusion Models
Jiawei Zhang, Ziyuan Liu, Leon Yan, Zhenyu Xiao, Yuantao Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control
Ali Taghibakhshi, Ruisi Cai, Saurav Muralidharan, Sharath Turuvekere Sreenivas, Ameya Mahabaleshwarkar, Marcin Chochowski, Akhiad Bercovich, Ran Zilberstein, Ran El-Yaniv, Yonatan Geifman, Daniel Korzekwa, Yoshi Suhara, Oluwatobi Olabiyi, Ashwath Aithal, Nima Tajbakhsh, Pavlo Molchanov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
Weijian Li, Hong-Yu Chen, Nabeel Rehemtulla, Ved Shah, Dongho Kim, Dennis Wu, Qinjie Lin, Adam Miller, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
State Space Model with Continuous Limit of HiPPO Matrix: Eigenvalue Analysis and Explicit Solution Formula
Atsushi Takabatake, Takaharu Yaguchi
Machine Learning
日本大学: 九州大学
2026 · ICML
State-Dependent Safety Failures in Multi-Turn Language Model Interaction
pengcheng li, Jie Zhang, Tianwei Zhang, Han Qiu, Zhang kejun, Weiming Zhang, Nenghai Yu, Wenbo Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stationary MMD Points
Zonghao Chen, Toni Karvonen, Heishiro Kanagawa, Francois-Xavier Briol, Chris J Oates
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Statistical Consistency and Generalization of Contrastive Representation Learning
Yuanfan Li, Xiyuan Wei, Tianbao Yang, Yiming Ying
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Statistical Early Stopping for Reasoning Models
Yangxinyu Xie, Tao Wang, Soham Mallick, Yan Sun, Georgy Noarov, Mengxin Yu, Tanwi Mallick, Edgar Dobriban
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Statistically Calibrated Scaling for Token Merging in Transformers
Qing Zhou, Hongyuan Zhang, Tao Yang, Junyu Gao, Qi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Statistically Undetectable Backdoors in Deep Neural Networks
Andrej Bogdanov, Alon Rosen, Neekon Vafa
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds
Yuyang Wang, Felix Wang, Zedong Wang, Ijay Narang, Yuzhou Wang, Siva Maguluri
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steal the Patch Size: Adversarially Manipulate Vision Language Models
Kai Hu, Akash Bharadwaj, Weichen Yu, Matt Fredrikson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steer Like the LLM: Activation Steering that Mimics Prompting
Geert Heyman, Frederik Vandeputte
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation
ruipeng zhang, Zhihao Li, C.L.Philip Chen, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation
LUOYU CHEN, Weiqi Wang, Zhiyi Tian, Chenhan Zhang, Feng Wu, Jianhuan Huang, Ahmed Asiri, Shui Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steering Large Language Models through the DMTA Cycle: Structure-Based Drug Design via Knowledge-Driven Bi-Level Thompson Sampling
Xuanning Hu, Hao Tuo, Jinglong Ji, Anchen Li, Qianli Xing, Bo Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
Helena Casademunt, Caden Juang, Adam Karvonen, Samuel Marks, Senthooran Rajamanoharan, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Steering at the Source: Style Modulation Heads for Robust Persona Control
Yoshihiro Izawa, Gouki Minegishi, Koshi Eguchi, Sosuke Hosokawa, Kenjiro Taura
Machine Learning
日本大学: 東京大学
2026 · ICML
SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
Vincent Siu, Nicholas Crispino, David Park, Nathan Henry, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
Van Khoa NGUYEN, Lionel Blondé, Alexandros Kalousis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Stem: Rethinking Causal Information Flow in Sparse Attention
Lin Niu, Xin Luo, LinchuanXie, Yifu Sun, Guanghua Yu, Jianchen Zhu, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Step-Level Sparse Autoencoder for Reasoning Process Interpretation
Xuan Yang, Jiayu Liu, Yuhang Lai, Hao Xu, Zhenya Huang, Ning Miao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Step-Resolved Data Attribution for Looped Transformers
Georgios Kaissis, David Mildenberger, Felipe Gomez, Martin Menten, Eleni Triantafillou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Step-Size Stability in Stochastic Optimization: A Theoretical Perspective
Fabian Schaipp, Robert Gower, Adrien Taylor
Machine Learning
日本大学: 関与なし（対象大学）