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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
TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation
Yiyang Cao, Yunze Deng, Ziyu Lin, Bin Feng, Xinggang Wang, Wenyu Liu, DanDan Zheng, Jingdong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
Amira Guesmi, Bassem Ouni, Muhammad Shafique
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Triangle Multiplication is All You Need for Biomolecular Structure Representations
Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Diaz, Gianluca Scarpellini, Richard Bowen, Nate Gruver, Adam Klivans, Philipp Krähenbühl, Aleksandra Faust, Maruan Al-Shedivat
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, JIAHENG LIU, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TrimR: Verifier-based Training-Free Thinking Trimming for Efficient Test-Time Scaling
Weizhe Lin, Xing Li, Zhiyuan Yang, Xiaojin Fu, Huiling Zhen, Yaoyuan Wang, Xianzhi Yu, Wulong Liu, Xiaosong Li, Mingxuan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Trinity: An Evolved LLM Coordinator
Jinglue Xu, Qi Sun, Peter Schwendeman, Stefan Nielsen, Edoardo Cetin, Yujin Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Trion: FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of LLMs
Ionut-Vlad Modoranu, Mher Safaryan, Erik Schultheis, Maksim Riabinin, Artem Chumachenko, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?
Zijian Zhao, Sen Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
Sumin Kim, Hyemin Jeong, Mingu Kang, Yejin Kim, Yoori Oh, Joonseok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TrojanTO: Action-Level Backdoor Attacks Against Trajectory Optimization Models
Yang Dai, Oubo Ma, Xingxing Liang, Longfei Zhang, Xiaochun Cao, Shouling Ji, Jiaheng Zhang, Jincai Huang, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
True Self-Supervised Novel View Synthesis is Transferable
Thomas MItchel, Hyunwoo Ryu, Vincent Sitzmann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Trust The Typical
Debargha Ganguly, Sreehari Sankar, Biyao Zhang, Vikash Singh, Kanan Gupta, Harshini Kavuru, Alan Luo, Weicong Chen, Warren Morningstar, Raghu Machiraju, Vipin Chaudhary
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
Yuan Wang, Yuhao Wan, Siming Zheng, Bo Li, Qibin Hou, Peng-Tao Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Trust-Region Adaptive Policy Optimization
Mingyu Su, Jian Guan, Yuxian Gu, Minlie Huang, Hongning Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Jiayi Ye, Yujun Zhou, Yanbo Wang, Jiawen Shi, Qihui Zhang, Han Bao, Zhaoyi Liu, Yuan Li, Tianrui Guan, Peiran Wang, Haomin Zhuang, Dongping Chen, Kehan Guo, Andy Zou, Bryan Hooi, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jieyu Zhang, Jaehong Yoon, Kai Shu, Ranjay Krishna, Swabha Swayamdipta, Weijia Shi, Xiang Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen-Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip Yu, Neil Gong, Pin-Yu Chen, Bo Li, Dawn Song, Xiangliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Zhen Wu, Xin-Yu Dai, Yue Zhang, Cunxiang Wang, Wei Ye, Shikun Zhang
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations
Pedro Ferreira, Wilker Aziz, Ivan Titov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
Tianyi Qiu, Micah Carroll, Cameron Allen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory
Guancheng Zhou, Zelin Zeng, Yisi Luo, Qi Xie, Deyu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging
Junhao Dong, Xinghua Qu, Cong Zhang, Qi Rong Sua, Nguyen Duc Thai, Wenbo Pan, Xinfeng Li, Tongliang Liu, Piotr Koniusz, Yew-Soon Ong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis
Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. MOK, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tuning the burn-in phase in training recurrent neural networks improves their performance
Julian D. Schiller, Malte Heinrich, Victor Lopez, Matthias Müller
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression
Amit Vaisman, Guy Ohayon, Hila Manor, Miki Elad, Tomer Michaeli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation
Junhan Kim, Yeo Jeong Park, Seungwoo Son, Chungman Lee, Ho-young Kim, Joonyoung Kim, Yongkweon Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
Amir Zandieh, Majid Daliri, Majid Hadian, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Turning Internal Gap into Self-Improvement: Promoting the Generation-Understanding Unification in MLLMs
Yujin Han, Hao Chen, Andi Han, Zhiheng Wang, Xinyu Liu, yingya zhang, Shiwei Zhang, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TusoAI: Agentic Optimization for Scientific Methods
Alistair Turcan, Kexin Huang, Lei Li, Martin J. Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
Moussa Koulako Bala Doumbouya, Dan Jurafsky, Christopher Manning
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows
Zhenglin Cheng, Peng Sun, Jianguo Li, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
HoKyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Two (narrow) heads are better than (an arbitrarily wide) one
Amanuel Tesfaye, Zeno Kujawa, Rajmohan Rajaraman, Ravi Sundaram
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
Alessio Giorlandino, Sebastian Goldt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Two-Layer Convolutional Autoencoders Trained on Normal Data Provably Detect Unseen Anomalies
Yanbo Chen, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
Hongye Xu, Bartosz Krawczyk
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Type-Compliant Adaptation Cascades
Chu-Cheng Lin, Daiyi Peng, Yifeng Lu, Ming Zhang, Eugene Ie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix
Ahmet Yüzügüler, Ahmet Çelik, Jiawei Zhuang, Lukas Cavigelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
Xiaojie Li, Chu Li, Shi-Zhe Chen, Xi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
Anjie Le, Henan Liu, Yue Wang, Zhenyu Liu, Rongkun Zhu, Taohan Weng, Jinze Yu, Boyang Wang, Yalun Wu, Kaiwen Yan, Quanlin Sun, Meirui Jiang, Jialun Pei, Siya Liu, Haoyun Zheng, Zhoujun Li, J. Alison Noble, Jacques Souquet, Xiaoqing Guo, Manxi Lin, Hongcheng Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UALM: Unified Audio Language Model for Understanding, Generation and Reasoning
Jinchuan Tian, Sang-gil Lee, Zhifeng Kong, Sreyan Ghosh, Arushi Goel, Chao-Han Huck Yang, Wenliang Dai, Zihan Liu, Hanrong Ye, Shinji Watanabe, Mohammad Shoeybi, Bryan Catanzaro, Rafael Valle, Wei Ping
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UFO-4D: Unposed Feedforward 4D Reconstruction from Two Images
Junhwa Hur, Charles Herrmann, Songyou Peng, Philipp Henzler, Zeyu Ma, Todd Zickler, Deqing Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction as Reasoning
Liangyu Chen, Hanzhang Zhou, chenglin cai, Jianan Zhang, Panrong Tong, Xu Zhang, Quyu Kong, Chen Liu, Yuqi Liu, Wenxuan Wang, Yue Wang, Qin Jin, Steven HOI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking
Chang Liu, Chuqiao Kuang, Tianyi Zhuang, Yuxin Cheng, Huichi Zhou, Xiaoguang Li, Lifeng Shang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ULD-Net: Enabling Ultra-Low-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference
Xi Xie, Ran Ran, Jiahui Zhao, Bin Lei, Zhijie Shi, Wujie Wen, Caiwen Ding
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ULTRA-360: Unconstrained Dataset for Large-scale Temporal 3D Reconstruction across Altitudes and Omnidirectional Views
Xijun Liu, Zhaoliang Zhang, Yuxiang Guo, Yifan Zhou, Rama Chellappa, Cheng Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UNDERSTANDING TRANSFORMERS FOR TIME SERIES FORECASTING: A CASE STUDY ON MOIRAI
Yu-Hsuan Wu, Yihan He, Yuan Cao, Jianqing Fan, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UNITE: Universal kNowledge Integration from Task-specific Experts
Shuxia Lin, Qiufeng Wang, xu yang, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections
Zeyu Cai, Ziyang Li, Xiaoben Li, Boqian Li, Zeyu Wang, Zhenyu Zhang, Yuliang Xiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning Capabilities of LLMs as Urban Agents
Siqi Lai, Yansong Ning, Zirui Yuan, Zhixi Chen, Hao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
Haoyang Zheng, Xinyang Liu, Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes
Mark Eid, Ana Namburete, Joao F. Henriques
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
Zihao Huang, Yu Bao, Qiyang Min, Siyan Chen, Ran Guo, Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, zhou Xun, Siyuan Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers
Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Daniel Barath
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Unbiased Gradient Estimation for Event Binning via Functional Backpropagation
Jinze Chen, Wei Zhai, Han Han, Tiankai Ma, Yang Cao, Bin Li, Zheng-Jun Zha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis
Xinhao Cai, Liulei Li, Gensheng Pei, Tao Chen, Jinshan Pan, Yazhou Yao, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty Estimation via Hyperspherical Confidence Mapping
Eunseo Choi, Ho-Yeon Kim, Jaewon Lee, Taeyong jo, Myungjun lee, Heejin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty Matters in Dynamic Gaussian Splatting for Monocular 4D Reconstruction
Fengzhi Guo, Chih-Chuan Hsu, Sihao Ding, Cheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
Yavuz Faruk Bakman, Sungmin Kang, Zhiqi Huang, Duygu Nur Yaldiz, Catarina Belém, Chenyang Zhu, Anoop Kumar, Alfy Samuel, Daben Liu, Salman Avestimehr, Sai Karimireddy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty-Aware 3D Reconstruction for Dynamic Underwater Scenes
Rui Liu, Zhibo Duan, Jianzhe Gao, Yi Yang, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
Mara Daniels, Liam Hodgkinson, Michael W Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty-Aware Gaussian Map for Vision-Language Navigation
Jianzhe Gao, Rui Liu, Yuxuan Xu, Tongtong Cao, Yingxue Zhang, Zhanguang Zhang, Sida Peng, Yi Yang, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncertainty-driven Embedding Convolution
Sungjun Lim, Kangjun Noh, Youngjun Choi, Heeyoung Lee, Kyungwoo Song
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncover Underlying Correspondence for Robust Multi-view Clustering
Haochen Zhou, Guofeng Ding, Mouxing Yang, Peng Hu, Yijie Lin, Xi Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
Maty Bohacek, Thomas Fel, Maneesh Agrawala, Ekdeep Singh Lubana
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided Diffusion
Yule Wang, Joseph Yu, Chengrui Li, Weihan Li, Anqi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding Cross-layer Contributions to Mixture-of-Experts Routing in LLMs
Wengang Li, Lingqi Zhang, Toshio Endo, Mohamed Wahib
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Understanding Dataset Distillation via Spectral Filtering
Deyu Bo, Songhua Liu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
Zhaiming Shen, Alexander Hsu, Rongjie Lai, Wenjing Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding
Lin Long, Changdae Oh, Seongheon Park, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
Tsubasa Takahashi, Shojiro Yamabe, Futa Waseda, Kento Sasaki
Machine Learning
日本大学: 東京科学大学 / 東京大学
2026 · ICLR
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations
Yuxin Dong, Jiachen Jiang, Zhihui Zhu, Xia Ning
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
Annan Yu, Danielle Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W Mahoney, Bernie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding and Improving Continuous LLM Adversarial Training via In-context Learning Theory
Shaopeng Fu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding and Improving Hyperbolic Deep Reinforcement Learning
Timo Klein, Thomas Lang, Andrii Shkabrii, Alexander Sturm, Kevin Sidak, Lukas Miklautz, Claudia Plant, Yllka Velaj, Sebastian Tschiatschek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
Jiaqi Leng, Xiang Hu, Junxiong Wang, Jianguo Li, Wei Wu, Yucheng Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding and Relaxing the Limitations of Transformers for Linear Algebra
Andres Potapczynski, Alex Ali, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization
Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger Grosse
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Dynamics of Forgetting and Generalization in Continual Learning via the Neural Tangent Kernel
Guodong Zheng, Peng Wang, Shengchao Hu, Quan Zheng, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
Mark Rofin, Jalal Naghiyev, Michael Hahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
Annan Yu, Danielle Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W Mahoney, Bernie Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Learning Phases in Self-Supervised Learning via Critical Periods
JangHyeon Lee, Philipe Dias, Yao-Yi Chiang, Dalton Lunga
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Mechanisms of Fast Hyperparameter Transfer
Nikhil Ghosh, Denny Wu, Alberto Bietti
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data
Xuanyu Chen, Nan Yang, Shuai Wang, Dong Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding the Role of Training Data in Test-Time Scaling
Adel Javanmard, Baharan Mirzasoleiman, Vahab Mirrokni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models
Sen Ye, Mengde Xu, Shuyang Gu, Di He, Liwei Wang, Winston Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations
Linjie Li, Mahtab Bigverdi, Jiawei Gu, Zixian Ma, Yinuo Yang, Ziang Li, Yejin Choi, Ranjay Krishna
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
Luozheng Qin, GONG JIA, Yuqing Sun, Tianjiao Li, Haoyu Pan, Mengping Yang, Xiaomeng Yang, Chao Qu, Zhiyu Tan, Hao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
Shangpin Peng, Weinong Wang, Zhuotao Tian, Senqiao Yang, Xing Wu, Haotian Xu, Chengquan Zhang, Takashi Isobe, Baotian Hu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, XINLIANG ZHOU
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
Jitai Hao, Hao Liu, Xinyan Xiao, Qiang Huang, Jun Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniCA: Unified Covariate Adaptation for Time Series Foundation Model
Lu Han, Yu Liu, Lan Li, Qiwen Deng, Jian Jiang, Yinbo sun, Zhe Yu, Binfeng Wang, Xingyu Lu, Lintao Ma, Han-Jia Ye, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy
Tianshuo Xu, Kai Wang, ZhiFei Chen, Leyi Wu, Tianshui Wen, Fei Chao, YINGCONG CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
Hangke Sui, Yuqing Wang, Minh Do
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models
Guanlong Jiao, Biqing Huang, Kuan-Chieh Wang, Renjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniF$^2$ace: A $\underline{Uni}$fied $\underline{F}$ine-grained $\underline{Face}$ Understanding and Generation Model
Junzhe Li, Sifan Zhou, Liya Guo, Xuerui Qiu, Linrui Xu, TingTing Long, Chun Fan, Ming Li, Hehe Fan, Jun Liu, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation
Zhengrong Yue, Haiyu Zhang, Xiangyu Zeng, Boyu Chen, Chenting Wang, Shaobin Zhuang, Lu Dong, Yi Wang, Limin Wang, Yali Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
UniHM: Unified Dexterous Hand Manipulation with Vision Language Model
Zhenhao Zhang, Jiaxin Liu, Ye Shi, Jingya Wang
Machine Learning
日本大学: 関与なし（対象大学）