ICLR

2022–2026 LIVE

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Machine Learning

2026 · 5,351 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 · ICLR
Sim2Real VLA: Zero-Shot Generalization of Synthesized Skills to Realistic Manipulation
Runyi Zhao, Sheng Xu, Ruixing Jin, Yueci Deng, Yunxin Tai, Kui Jia, Guiliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
Tiancheng Hu, Joachim Baumann, Lorenzo Lupo, Nigel Collier, Dirk Hovy, Paul Röttger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms
Haithem Turki, Qi Wu, Xin Kang, Janick Martinez Esturo, Shengyu Huang, Ruilong Li, Zan Gojcic, Riccardo de Lutio
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimpleFold: Folding Proteins is Simpler than You Think
Yuyang Wang, Jiarui Lu, Navdeep Jaitly, Joshua Susskind, MIGUEL ANGEL BAUTISTA
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimpleGVR: A Simple Baseline for Latent-Cascaded Generative Video Super-Resolution
Liangbin Xie, Yu Li, Shian Du, Menghan Xia, Xintao WANG, Fanghua Yu, Ziyan Chen, Pengfei Wan, Jiantao Zhou, Chao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun MA, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Yang Zhaohui, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents
Johan S Obando Ceron, Walter Mayor, Samuel Lavoie, Scott Fujimoto, Aaron Courville, Pablo Samuel Castro
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents
Gyuhyeon Seo, Jungwoo Yang, Junseong Pyo, Nalim Kim, Jonggeun Lee, Yohan Jo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
Yilun Hao, Yongchao Chen, Chuchu Fan, Yang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
Yue Kang, Mingshuo Liu, Bongsoo Yi, Jing Lyu, Zhi Zhang, Doudou Zhou, Yao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Single-Loop Byzantine-Resilient Federated Bilevel Optimization
Yangnan Li, Shenghui Song, Xuanyu Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Single-stream Policy Optimization
Zhongwen Xu, Zihan Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Singleton-Optimized Conformal Prediction
Tao Wang, Yan Sun, Edgar Dobriban
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SinkTrack: Attention Sink based Context Anchoring for Large Language Models
Xu Liu, Guikun Chen, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis
Zhixin Feng, Runan Yin, LAN YANG, Kaiyue Pang, Ke Li, Honggang Zhang, Yi-Zhe Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models
RUIYANG ZHANG, Dongzhan Zhou, Zhedong Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SketchingReality: From Freehand Scene Sketches to Photorealistic Images
Ahmed Bourouis, Mikhail Bessmeltsev, Yulia Gryaditskaya
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
Patrik Reizinger, Bálint Mucsányi, Siyuan Guo, Benjamin Eysenbach, Bernhard Schölkopf, Wieland Brendel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SkillFactory: Self-Distillation for Learning Cognitive Behaviors
Zayne Sprague, Jack Lu, Manya Wadhwa, Sedrick Keh, Mengye Ren, Greg Durrett
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Skirting Additive Error Barriers for Private Turnstile Streams
Anders Aamand, Justin Chen, Sandeep Silwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction
Wenzong Ma, Zhuoxiao Li, Jinjing Zhu, Tongyan Hua, Kanghao Chen, Zidong Cao, Da Yang, Peilun Shi, Yibo Zhou, Wufan Zhao, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
Yuhao Liu, Liang Zeng, Yuzhen Xiao, Jujie He, Jiacai Liu, Chaojie Wang, Rui Yan, Wei Shen, Fuxiang Zhang, Jiacheng Xu, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Slicing Wasserstein over Wasserstein via Functional Optimal Transport
Moritz Piening, Robert Beinert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SliderQuant: Accurate Post-Training Quantization for LLMs
Shigeng Wang, Chao Li, Yangyuxuan Kang, Jiawei Fan, Zhonghong Ou, Anbang Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks
Seungwon Jeong, Jiwoo Jeong, Hyeonjin Kim, Yunseok Lee, Woojin Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
Ziyan Wang, Zheng Wang, Xingwei Qu, Qi Cheng, Jie Fu, Shengpu Tang, Minjia Zhang, Xiaoming Huo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Small Drafts, Big Verdict: Information-Intensive Visual Reasoning via Speculation
Yuhan Liu, Lianhui Qin, Shenji Wan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Small Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability
Luca Baroni, Galvin Khara, Joachim Schaeffer, Marat Subkhankulov, Stefan Heimersheim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
Xuechen Zhang, Koustava Goswami, Samet Oymak, Jiasi Chen, Nedim Lipka
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SmartDJ: Declarative Audio Editing with Audio Language Model
Zitong Lan, Yiduo Hao, Mingmin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping
Tao He, Rongchuan Mu, Lizi Liao, Yixin Cao, Yang Li, Yijia Luo, Weixun Wang, Ming Liu, Bing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SmellNet: A Dataset for Sensor-Based Smell Recognition and Mixture Prediction
Dewei Feng, Wei Dai, Carol Li, Alistair Pernigo, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Smooth Calibration Error: Uniform Convergence and Functional Gradient Analysis
Futoshi Futami, Atsushi Nitanda
Machine Learning
日本大学: 東京大学
2026 · ICLR
Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding
Kai Liu, Zhan Su, Peijie Dong, Fengran Mo, Jianfei Gao, Shaoting Zhang, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SoFlow: Solution Flow Models for One-Step Generative Modeling
Tianze Luo, Haotian Yuan, Zhuang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
Huashan Sun, Shengyi Liao, Yansen Han, Yu Bai, Yang Gao, Cheng Fu, Weizhou Shen, Fanqi Wan, Ming Yan, Ji Zhang, Fei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SoSBench: Benchmarking Safety Alignment on Six Scientific Domains
Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Zixin Rao, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis
Kaheon Kim, Bohan Zhou, Changbo Zhu, Xiaohui Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Social Agents: Collective Intelligence Improves LLM Predictions
Aanisha Bhattacharyya, Abhilekh Borah, Yaman Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Punya Syon Pandey, Lê Sơn, Devansh Bhardwaj, Zhijing Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Zihao Guo, Shuqing Shi, Richard Willis, Tristan Tomilin, Joel Z Leibo, Yali Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Soft Equivariance Regularization for Invariant Self-Supervised Learning
Joohyung Lee, Changhun Kim, Hyunsu Kim, Kwanhyung Lee, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Soft Quality-Diversity Optimization
Saeed Hedayatian, Stefanos Nikolaidis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Soft Tokens, Hard Truths
Natasha Butt, Ariel Kwiatkowski, Ismail Labiad, Julia Kempe, Yann Ollivier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings
Yuanzhi Zhu, Xi WANG, Stéphane Lathuilière, Vicky Kalogeiton
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Soft-Masked Diffusion Language Models
Michael Hersche, Samuel Moor-Smith, Thomas Hofmann, Abbas Rahimi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
Dongli Xu, Aleksei Tiulpin, Matthew Blaschko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Softmax Transformers are Turing-Complete
Hongjian Jiang, Michael Hahn, Georg Zetzsche, Anthony W. Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Softmax is not Enough (for Adaptive Conformal Classification)
Navid Akhavan Attar, Hesam Asadollahzadeh, Ling Luo, Uwe Aickelin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Solving Football by Exploiting Equilibrium Structure of 2p0s Differential Games with One-Sided Information
Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning
Pedro Santos, Alberto Sardinha, Francisco S. Melo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning
Oswin So, Eric Yu, Songyuan Zhang, Matthew Cleaveland, Mitchell Black, Chuchu Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Solving the 2-norm k-hyperplane clustering problem via multi-norm formulations
Stefano Coniglio
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
Heyang Gao, Zexu Sun, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Some Neural Networks Inherently Preserve Subspace Clustering Structure
Karan Vikyath Veeranna Rupashree, Siddharth Baskar, Daniel L Pimentel-Alarcón
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SongEcho: Towards Cover Song Generation via Instance-Adaptive Element-wise Linear Modulation
Sifei Li, Yang Li, Zizhou Wang, Yuxin Zhang, Fuzhang Wu, Oliver Deussen, Tong-Yee Lee, Weiming Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations
Wentao Guo, Mayank Mishra, Xinle Cheng, Ion Stoica, Tri Dao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
Kaixuan Fan, Kaituo Feng, Haoming Lyu, Dongzhan Zhou, Xiangyu Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Source-Guided Flow Matching
Zifan Wang, Alice Harting, Matthieu Barreau, Michael Zavlanos, Karl H. Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence
Ziyang Gong, Wenhao Li, Xianzheng Ma, Songyuan Li, Zhaokai Wang, Songze Li, Jiayi Ji, Xue Yang, Gen Luo, Junchi Yan, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpaCE-Eval: A Benchmark for Real-World Multi-Modal Reasoning
Xuyou Yang, Yucheng Zhao, Wenxuan Zhang, Immanuel Koh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Elisabetta Fedele, Francis Engelmann, Ian Huang, Or Litany, Marc Pollefeys, Leonidas Guibas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpareTrain: Fault-Tolerant LLM Training via Low-Cost Dual Modular Redundancy
Rihae Park, Yeonjae Kim, Seung Lee, Yeonhong Park, Jae W. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparkle: A Robust and Versatile Representation for Point Cloud-based Human Motion Capture
YIMING REN, YUJING SUN, Aoru Xue, Kwok Yan Lam, Yuexin Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparling: End-to-End Spatial Concept Learning via Extremely Sparse Activations
Kavi Gupta, Osbert Bastani, Armando Solar-Lezama
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparse Attention Adaptation for Long Reasoning
Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden So, Yu Hua, Ting Cao, Fan Yang, Mao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparse Autoencoders Trained on the Same Data Learn Different Features
Gonçalo Paulo, Nora Belrose
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparse CLIP: Co-Optimizing Interpretability and Performance in Contrastive Learning
Chuan Qin, Constantin Venhoff, Sonia Joseph, Fanyi Xiao, Stefan Scherer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparse Imagination for Efficient Visual World Model Planning
Junha Chun, Youngjoon Jeong, Taesup Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
Haoming Meng, Kexin Huang, Shaohang Wei, Chiyu Ma, Shuo Yang, xue wang, Guoyin Wang, Bolin Ding, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SparseD: Sparse Attention for Diffusion Language Models
Zeqing Wang, Gongfan Fang, Xinyin Ma, Xingyi Yang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization
Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sparsity Forcing: Reinforcing Token Sparsity of MLLMs
Feng Chen, YEFEI HE, Lequan Lin, Jing Liu, Chenhui Gou, Bohan Zhuang, Qi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?
Azmine Toushik Wasi, Wahid Faisal, Abdur Rahman, Mahfuz Ahmed Anik, Munem Shahriar, Mohsin Topu, Sadia Tasnim Meem, Rahatun Priti, Sabrina Mitu, Iqramul Hoque, Shahriyar Ridoy, Mohammed Eunus Ali, Majd Hawasly, Mohammad Raza, Md Rizwan Parvez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation
Arina Kharlamova, Bowei He, Chen Ma, Xue Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model
Fuhao Li, Wenxuan Song, Han Zhao, Jingbo Wang, Pengxiang Ding, Donglin Wang, Long ZENG, Haoang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatial Mental Modeling from Limited Views
Qineng Wang, Baiqiao Yin, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Jiajun Wu, Li Fei-Fei, Manling Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
Mohsen Gholami, Ahmad Rezaei, Zhou Weimin, Sitong Mao, Shunbo Zhou, Yong Zhang, Mohammad Akbari
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatial Structure and Selective Text Jointly Facilitate Image Clustering
Zizheng Jiu, Feijiang Li, Jieting Wang, Yuhua Qian, Lu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models
Xinmiao Huang, Qisong He, Zhenglin Huang, Boxuan Wang, Zhuoyun Li, Guangliang Cheng, Yi Dong, Xiaowei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpatialHand: Generative Object Manipulation from 3D Prespective
zehan wang, Jialei Wang, Siyu Chen, Ziang Zhang, Luping Liu, Xize Cheng, Kaihang Pan, Hengshuang Zhao, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
Hongxing Li, Dingming Li, Zixuan Wang, Yuchen Yan, Hang Wu, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
Siting Wang, Minnan Pei, Luoyang Sun, Cheng Deng, Yuchen Li, Kun Shao, Zheng Tian, Haifeng Zhang, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatially Guided Training for Vision-Language-Action Model
Jinhui Ye, Fangjing Wang, Ning Gao, Junqiu Yu, Yangkun Zhu, Bin Wang, Jinyu Zhang, Weiyang Jin, Yanwei Fu, Feng Zheng, Yilun Chen, Jiangmiao Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spatially Informed Autoencoders for Interpretable Visual Representation Learning
Dominik Sturm, Hiba Bensalem, Ivo Sbalzarini
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation
Youliang Zhang, Zhaoyang Li, Duomin Wang, jiahe zhang, Deyu Zhou, Zixin Yin, Xili Dai, Gang Yu, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism
Yuhao Shen, Junyi Shen, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Special Unitary Parameterized Estimators of Rotation
Akshay Chandrasekhar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
Jonas Hübotter, Patrik Wolf, Aleksandr Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpectraLLM: Uncovering the Ability of LLMs for Molecule Structure Elucidation from Multi-Spectra
YUNYUE SU, Jiahui Chen, Zao Jiang, Zhenyi Zhong, Liang Wang, Qiang Liu, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spectral Attention Steering for Prompt Highlighting
Waylon Li, Yuchen Niu, Yongxin Yang, Keshuang Li, Tiejun Ma, Shay B Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spectral Bellman Method: Unifying Representation and Exploration in RL
Ofir Nabati, Bo Dai, Shie Mannor, Guy Tennenholtz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spectral-guided Physical Dynamics Distillation
Youjin Kim, Dagyeong Na, JaeYong Lee, Junseok Kwon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
Lorenzo Caselli, Marco Mistretta, Simone Magistri, Andrew Bagdanov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Taylor Sorensen, Benjamin Newman, Jared Moore, Chan Young Park, Jillian Fisher, Niloofar Mireshghallah, Liwei Jiang, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Speculative Actions: A Lossless Framework for Faster AI Agents
Naimeng Ye, Arnav Ahuja, Georgios Liargkovas, Yunan Lu, Kostis Kaffes, Tianyi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Speculative Speculative Decoding
Tanishq Kumar, Tri Dao, Avner May
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Speech World Model: Causal State–Action Planning with Explicit Reasoning for Speech
Xuanru Zhou, Jiachen Lian, Henry Hong, Xinyi Yang, Gopala Anumanchipalli
Machine Learning
日本大学: 関与なし（対象大学）