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
Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Rogov, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
Xueyao Zhang, Chaoren Wang, Huan Liao, Ziniu Li, Yuancheng Wang, Li Wang, Dongya Jia, Yuanzhe Chen, Xiulin LI, Zhuo Chen, Zhizheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Weinberger, Zeyu Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spherical Watermark: Encryption-Free, Lossless Watermarking for Diffusion Models
Xiaoxiao Hu, Jiaqi Jin, Sheng Li, Wanli Peng, Xinpeng Zhang, Zhenxing Qian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spike-based Digital Brain: a novel fundamental model for brain activity analysis
Shaolong Wei, Qiyu Sun, Mingliang Wang, Liang Sun, Weiping Ding, Jiashuang Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpikeGen: Decoupled “Rods and Cones” Visual Representation Processing with Latent Generative Framework
Gaole Dai, Menghang Dong, Rongyu Zhang, Ruichuan An, Tiejun Huang, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpikePingpong: Spike Vision-based Fast-Slow Pingpong Robot System
Hao Wang, Chengkai Hou, Xianglong Li, Yankai Fu, Chenxuan Li, Ning Chen, Gaole Dai, Jiaming Liu, Tiejun Huang, Shanghang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams
Zhuoheng Gao, Yihao Li, Jiyao Zhang, Rui Zhao, Tong Wu, Hao Tang, Zhaofei Yu, Hao Dong, Guozhang Chen, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spiking Discrepancy Transformer for Point Cloud Analysis
Yijie Lu, Zhiyi Pan, Renrui Zhang, Yanhao Jia, Ronggang Wang, Zhaokun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spilled Energy in Large Language Models
Robert Adrian Minut, Hazem Dewidar, Iacopo Masi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives
Chloe Li, Mary Phuong, Daniel Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs
Yuyou Zhang, Radu Corcodel, Chiori Hori, Anoop Cherian, DING ZHAO
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Ming Zhao, Wenhui Dong, Yang Zhang, wangyou, Zhonghao Zhang, Zian Zhou, YUNZHI GUAN, Liukun Xu, Wei Peng, Zhaoyang Gong, Zhicheng Zhang, Dachuan li, Xiaosheng Ma, Yuli Ma, Jianing Ni, Changjiang Jiang, Lixia Tian, Chen Qixin, Xia Kaishun, Pingping Liu, Tongshun Zhang, ZhiqiangLiu, Zhongan Bi, Chenyang Si, Tiansheng Sun, Caifeng Shan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
Zichao Li, Gang Wu, Jack Wang, Ruiyi Zhang, Wanrong Zhu, Ryan Rossi, Vlad Morariu, Jihyung Kil
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Splat Feature Solver
Butian Xiong, Rong Liu, Kenneth Xu, Meida Chen, Andrew Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Splat Regression Models
Mara Daniels, Philippe Rigollet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation
David Shavin, Sagie Benaim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Splat the Net: Radiance Fields with Splattable Neural Primitives
xilong zhou, Bao-Huy Nguyen, Loïc Magne, Vladislav Golyanik, Thomas Leimkuehler, Christian Theobalt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting
Haomiao Qiu, Miao Zhang, Ziyue Qiao, Weili Guan, Min Zhang, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
Haotian Xia, Haonan Ge, Junbo Zou, Hyun Choi, Xuebin Zhang, Danny Suradja, Botao Rui, Ethan Tran, Wendy Jin, Zhen Ye, Xiyang Lin, Christopher Lai, Shengjie Zhang, Junwen Miao, Shichao Chen, Rhys Tracy, Vicente Ordonez, Weining Shen, Hanjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
Rocky Klopfenstein, Yang He, Andrew Tremante, Yuepeng Wang, Nina Narodytska, Haoze Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spotlight on Token Perception for Multimodal Reinforcement Learning
Siyuan Huang, Xiaoye Qu, Yafu Li, Yun Luo, Zefeng He, Daizong Liu, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
Subeen Park, JOOWANG KIM, Hakyung Lee, Sunjae yoo, Kyungwoo Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model
Jing Liang, Jinyi Liu, Yi Ma, Hongyao Tang, YAN ZHENG, Shuyue Hu, LEI BAI, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
Huaijie Wang, De Cheng, Guozhang Li, Zhipeng Xu, Lingfeng He, Jie Li, Nannan Wang, Xinbo Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping
Hao Shan, Ruikai Li, Han Jiang, Yizhe Fan, Ziyang Yan, Bohan Li, Xiaoshuai Hao, Hao Zhao, Zhiyong Cui, Yilong Ren, Haiyang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
Luckeciano Carvalho Melo, Alessandro Abate, Yarin Gal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
Wuyang Li, Wentao Pan, Po-Chien Luan, Yang Gao, Alexandre Alahi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stable and Scalable Deep Predictive Coding Networks with Meta-Prediction Errors
Myoung Hoon Ha, Hyunjun Kim, Yoondo Sung, Youngha Jo, Min Kang, Sang Wan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stable coresets: Unleashing the power of uniform sampling
Amir Carmel, Robert Krauthgamer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
Yize Wu, KE GAO, Ling Li, Yanjun WU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs
Yuhan Song, Linhao Zhang, Chuhan Wu, Aiwei Liu, Wei Jia, Houfeng Wang, Zhou Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stacked from One: Multi-Scale Self-Injection for Context Window Extension
Wei Han, Pan Zhou, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
Fernando Martinez, Tao Li, Yingdong Lu, Juntao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game
Barna Pásztor, Thomas Kleine Buening, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
Cheng Jin, Qitan Shi, Yuantao Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Station2Radar: Query‑Conditioned Gaussian Splatting for Precipitation Field
Doyi Kim, Minseok Seo, Changick Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Statistical Advantage of Softmax Attention: Insights from Single-Location Regression
O Duranthon, Pierre Marion, Claire Boyer, Bruno Loureiro, Lenka Zdeborova
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Statistical Guarantees for Offline Domain Randomization
Arnaud Fickinger, Abderrahim Bendahi, Stuart Russell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Statistical Guarantees in the Search for Less Discriminatory Algorithms
Chris Hays, Benjamin Laufer, Solon Barocas, Manish Raghavan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Statistical and structural identifiability in representation learning
Walter Nelson, Marco Fumero, THEOFANIS KARALETSOS, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steerable Adversarial Scenario Generation through Test-Time Preference Alignment
Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering Autoregressive Music Generation with Recursive Feature Machines
Daniel Zhao, Daniel Beaglehole, Julian McAuley, Taylor Berg-Kirkpatrick, Zachary Novack
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering Diffusion Models Towards Credible Content Recommendation
Zhuo Cai, Shoujin Wang, Jin Li, Peilin Zhou, Victor W. Chu, Fang Chen, Tianqing Zhu, Charu Aggarwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering Evaluation-Aware Language Models To Act Like They Are Deployed
Tim Hua, Andrew Qin, Samuel Marks, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering Language Models with Weight Arithmetic
Constanza Fierro, Fabien Roger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering MoE LLMs via Expert (De)Activation
Mohsen Fayyaz, Seyed MohammadAli Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Ryan Rossi, Trung Bui, Hinrich Schuetze, Nanyun (Violet) Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection
Zhaolin Cai, Fan Li, Huiyu Duan, Lijun He, Guangtao Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Steering the Herd: A Framework for LLM-based Control of Social Learning
Raghu Arghal, Kevin He, Shirin Saeedi Bidokhti, Saswati Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral
Yufei Huang, Liangyu Yuan, Changxi Chi, Yunfan Liu, Cheng Tan, Siyuan Li, Jingbo Zhou, Haitao Lin, Chang Yu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
Hongjun Liu, Leyu Zhou, Zijianghao Yang, Chao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
Chenyu Zhou, Tianyi Xu, Jianghao Lin, Dongdong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StochasTok: Improving Fine-Grained Subword Understanding in LLMs
Anya Sims, Thomas Foster, T. Nguyen-Hien, Klara Kaleb, Joseph Lee, Jakob Foerster, Yee Whye Teh, Cong Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stochastic Neural Networks for Causal Inference with Missing Confounders
Yaxin Fang, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
Joonhyeong Park, Byoungwoo Park, Chang-Bae Bang, Jungwon Choi, Hyungjin Chung, Byung-Hoon Kim, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Chen Zhu, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stochastic Self-Organization in Multi-Agent Systems
Nurbek Tastan, Samuel Horváth, Karthik Nandakumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stop Guessing: Choosing the Optimization-Consistent Uncertainty Measurement for Evidential Deep Learning
Linye Li, Yufei Chen, Xiaodong Yue, Xujing Zhou, Qunjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs
Dong Yan, Jian Liang, Ran He, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
Zewei Yu, Lirong Gao, Yuke Zhu, Bo Zheng, Junbo Zhao, Sheng Guo, Haobo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
Fulin Lin, shaowen chen, Ruishan Fang, Hongwei Wang, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
Daisuke Oba, Danushka Bollegala, Masahiro Kaneko, Naoaki Okazaki
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization
Jiawei Mao, Xiaoke Huang, Yunfei Xie, Yuanqi Chang, MUDE HUI, Bingjie Xu, Zeyu Zheng, Zirui Wang, Cihang Xie, Yuyin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StoryAlign: Evaluating and Training Reward Models for Story Generation
Haotian Xia, Hao Peng, Yunjia Qi, Xu Bin, Lei Hou, Juanzi Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
Alexander Panfilov, Evgenii Kortukov, Kristina Nikolić, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strategic Obfuscation of Deceptive Reasoning in Language Models
Arun Jose, Niels Warncke, Mia Taylor
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
Danqing Wang, Zhuorui Ye, Xinran Zhao, Fei Fang, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
Bowen Zuo, Yinglun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams
Zike Wu, Qi Yan, Xuanyu Yi, Lele Wang, Renjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Streaming Autoregressive Video Generation via Diagonal Distillation
Jinxiu Liu, Xuanming Liu, Kangfu Mei, Yandong Wen, Ming-Hsuan Yang, Weiyang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
Junbao Zhou, Yuan Zhou, Kesen Zhao, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Streaming Visual Geometry Transformer
Dong Zhuo, Wenzhao Zheng, Jiahe Guo, Yuqi Wu, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StreamingThinker: Large Language Models Can Think While Reading
Junlong Tong, Yingqi Fan, Anhao Zhao, Yunpu Ma, Xiaoyu Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StreamingVLM: Real-Time Understanding for Infinite Video Streams
Ruyi Xu, Guangxuan Xiao, Yukang Chen, Liuning He, Kelly Peng, Yao Lu, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance
Lorenzo Tausani, Paolo Muratore, Morgan B Talbot, Giacomo Amerio, Gabriel Kreiman, Davide Zoccolan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
Seungyul Han, Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
Matthieu Blanke, Yongquan Qu, Sara Shamekh, Pierre Gentine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
String Seed of Thought: Prompting LLMs for Distribution-Faithful and Diverse Generation
Kou Misaki, Takuya Akiba
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models
Ruisi Zhao, Haoren Zheng, Zongxin Yang, Hehe Fan, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strong Correlations Induce Cause Only Predictions in Transformer Training
Haihan Zhang, Yimu Zhang, Cong Fang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
Yujie Zhao, Lanxiang Hu, Yang Wang, Minmin Hou, Hao Zhang, Ke Ding, Jishen Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Strongly Convex Sets in Riemannian Manifolds
Damien Scieur, David Martinez-Rubio, thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structural Inference: Interpreting Small Language Models with Susceptibilities
Garrett Baker, George Wang, Jesse Hoogland, Vinayak Pathak, Daniel Murfet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
Yilan Zhang, Li Nanbo, Changchun Yang, Jürgen Schmidhuber, Xin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs
Melika Mobini, Vincent Holst, Floriano Tori, Andres Algaba, Vincent Ginis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structure Learning from Time-Series Data with Lag-Agnostic Structural Prior
Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Yanze Gao, Xin Wang, Huanhuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structure-Aware Graph Hypernetworks for Neural Program Synthesis
Wenhao Li, Yudong Xu, Elias Khalil, Scott Sanner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching
Yidan Xu, Yixin Wang, XuanLong Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Structured Reasoning for LLMs: A Unified Framework for Efficiency and Explainability
Yubo Dong, Hehe Fan, Linchao Zhu, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Study of Training Dynamics for Memory-Constrained Fine-Tuning
Aël Quélennec, Nour Hezbri, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
StyliTruth : Unlocking Stylized yet Truthful LLM Generation via Disentangled Steering
Chenglei Shen, Zhongxiang Sun, Teng Shi, Xiao Zhang, Jun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting
Hanzhou Liu, Jia Huang, Mi Lu, Srikanth Saripalli, Peng Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive
Jungseob Yi, Seoyoung Choi, Sun Kim, Sangseon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sublinear Spectral Clustering Oracle with Little Memory
Ranran Shen, Xiaoyi Zhu, Pan Peng, Zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Sublinear Time Quantum Algorithm for Attention Approximation
Zhao Song, Jianfei Xue, Jiahao Zhang, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Submodular Function Minimization with Dueling Oracle
Huaiyuan Xiao, Shinji Ito
Machine Learning
日本大学: 東京大学
2026 · ICLR
Subquadratic Algorithms and Hardness for Attention with Any Temperature
Shreya Gupta, Boyang Huang, Barna Saha, Yinzhan Xu, Christopher Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Subspace Kernel Learning on Tensor Sequences
Lei Wang, Xi Ding, Yongsheng Gao, Piotr Koniusz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
SumRA: Parameter Efficient Fine-tuning with Singular Value Decomposition and Summed Orthogonal Basis
Chin Yuen Kwok, Yongsen Zheng, Jia Qi Yip, Kwok Yan Lam, Ensiong Chng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Summaries as Centroids for Interpretable and Scalable Text Clustering
Jairo Diaz-Rodriguez
Machine Learning
日本大学: 関与なし（対象大学）