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
KeepLoRA: Continual Learning with Residual Gradient Adaptation
Mao-Lin Luo, Zi-Hao Zhou, Yi-Lin Zhang, Yuanyu Wan, Min-Ling Zhang, Tong Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KernelFusion: Zero-Shot Blind Super-Resolution via Patch Diffusion
Oliver Heinimann, Tal Zimbalist, Assaf Shocher, michal Irani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Kevin: Multi-Turn RL for Generating CUDA Kernels
Carlo Baronio, Pietro Marsella, Ben Pan, Simon Guo, Silas Alberti
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Kimi-Dev: Agentless Training as Skill Prior for SWE-agents
Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, ma yingwei, Yanhao Li, Yue Liu, Zhenxing Hu, kaitai zhang, Shuyi Wang, Huarong Chen, Hongyong Song, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KinemaDiff: Towards Diffusion for Coherent and Physically Plausible Human Motion Prediction
Ye Lu, Jie Wang, Tianyi Liu, Jianjun Gao, Kim-Hui Yap
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
Alvin Heng, Harold Soh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning
Xilin Dang, Kexin Chen, Xiaorui Su, Ayush Noori, Iñaki Arango, Lucas Vittor, LONG XINYI, Yuyang Du, Marinka Zitnik, Pheng-Ann Heng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy
Gukhyeon Lee, Yeachan Kim, SANGKEUN LEE
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowing When to Quit: Probabilistic Early Exits for Speech Separation Networks
Kenny Olsen, Mads Østergaard, Karl Ulbæk, Søren Føns Nielsen, Rasmus Malik Høegh Lindrup, Bjørn Jensen, Morten Mørup
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledge Distillation as Decontamination? Revisiting the “Data Laundering” Concern in Classification Tasks
Hengyu Luo, Raúl Vázquez, Timothee Mickus, Filip Ginter, Jörg Tiedemann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledge Distillation for Large Language Models through Residual Learning
Thinh On, Hengzhi Pei, Leonard Lausen, George Karypis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledge Exchange with Confidence: Cost-Effective LLM Integration for Reliable and Efficient Visual Question Answering
Mahsa Mozaffari, Hitesh Sapkota, Xumin Liu, Qi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models
Jiaqi Li, Zihan You, Ruoyan Shen, Shenyu Zhang, Songlin Zhai, Yongrui Chen, Chuanyi Zhang, Jiahui Geng, Fakhri Karray, Sheng Bi, Guilin Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledge Fusion of Large Language Models via Modular SkillPacks
Guodong DU, Zhuo Li, Xuanning Zhou, Junlin Li, Zesheng Shi, Wanyu LIN, Ho-Kin Tang, Xiucheng Li, Fangming Liu, Wenya Wang, Min Zhang, Jing Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Zhongyuan Wang, Jichen Zhang, Shirui Pan, Xindong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning
Yinyi Luo, Zhexian Zhou, Hao Chen, Kai Qiu, Marios Savvides, Sharon Li, Jindong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
Michael Yao, Osbert Bastani, Alma Andersson, Tommaso Biancalani, Aicha BenTaieb, Claudia Iriondo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Koopman-Assisted Trajectory Synthesis: A Data Augmentation Framework for Offline Imitation Learning
Jin Wang, Pengcheng He, Ke Jiang, Xiaoyang Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
K²-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control
Zhe Wu, Donglin Mo, Hongjin Lu, Junliang Xing, Jianheng Liu, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Yuanchun Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
Md Ahsanul Haque, Ismail Hossain, Mahmuduzzaman Kamol, Jahangir Alam, Suresh Kumar Amalapuram, Sajedul Talukder, Mohammad Saidur Rahman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LANE: Label-Aware Noise Elimination for Fine-Grained Text Classification
Tiberiu Sosea, Cornelia Caragea
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LCA: Local Classifier Alignment for Continual Learning
Tung Tran, Danilo Vasconcellos Vargas, Khoat Than
Machine Learning
日本大学: 九州大学
2026 · ICLR
LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
Pengpeng Xiao, Phillip Si, Peng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, Fei Miao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LDT: Layer-Decomposition Training Makes Networks More Generalizable
Zaizuo Tang, Zongqi Yang, Yu-Bin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
Juan P Amboage, Ernst Roell, Patrick Schnider, Bastian Rieck
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning
Mostapha Essoullami, El Houcine Bergou, Aritra Dutta
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LEGATO: Large-scale End-to-end Generalizable Approach to Typeset OMR
Guang Yang, Victoria Ebert, Nazif Tamer, Brian Zheng, Luiza Pozzobon, Noah Smith
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models
Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou, Shili Xiong, Yi Rong, Yufei Wu, Shichao Su, Yifan Xu, Wenxi Zeng, Zhaoyu Yang, Guoyou Li, Shilan Zhang, Zichan Li, Yaxiong Chen, Shengwu Xiong, Peng Xu, Jiajun Zhang, Bowen Zhou, David Clifton, Luc Van Gool
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LEXam: Benchmarking Legal Reasoning on 340 Law Exams
Yu Fan, Jingwei Ni, Jakob Merane, Yang Tian, Yoan Hermstrüwer, Yinya Huang, Mubashara Akhtar, Etienne Salimbeni, Florian Geering, Oliver Dreyer, Daniel Brunner, Markus Leippold, Mrinmaya Sachan, Alexander Stremitzer, Christoph Engel, Elliott Ash, Joel Niklaus
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LFQA-E: Carefully Benchmarking Long-form QA Evaluation
Yuchen Fan, Chen Ling, Xin Zhong, Shuo Zhang, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Zhizhou He, Cheng Huang, Gang Chen, Ning Ding, Bowen Zhou
Machine Learning
日本大学: 東京大学
2026 · ICLR
LH-DECEPTION: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions
Yang Xu, Xuanming Zhang, Min-Hsuan Yeh, Jwala Dhamala, Ousmane Dia, Rahul Gupta, Sharon Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation
Jude Khouja, Lingyi Yang, Karolina Korgul, Simi Hellsten, Vlad A. Neacșu, Harry Mayne, Ryan Kearns, Andrew Bean, Adam Mahdi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LINK: Learning Instance-level Knowledge from Vision-Language Models for Human-Object Interaction Detection
Eastman Z Y Wu, Ya-Li Li, Yuan Wang, Shengjin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
Nikhil Abhyankar, sanchit kabra, Saaketh Desai, Chandan Reddy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM DNA: Tracing Model Evolution via Functional Representations
Zhaomin Wu, Haodong Zhao, Ziyang Wang, Jizhou Guo, Qian Wang, Bingsheng He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM Fingerprinting via Semantically Conditioned Watermarks
Thibaud Gloaguen, Robin Staab, Nikola Jovanović, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM Pretraining with Continuous Concepts
Jihoon Tack, Jack Lanchantin, Jane Dwivedi-Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason E Weston, Xian Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM Unlearning with LLM Beliefs
Kemou Li, Qizhou Wang, Yue Wang, Fengpeng Li, Jun Liu, Bo Han, Jiantao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
Hangting Ye, Jinmeng Li, He Zhao, Mingchen Zhuge, Dandan Guo, Yi Chang, Hongyuan Zha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
Amir Sadikov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
Hai Huang, Yann LeCun, Randall Balestriero
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
Qingchuan Yang, Simon Mahns, Sida Li, Anri Gu, Jibang Wu, Haifeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLM2Fx-Tools: Tool Calling for Music Post-Production
SeungHeon Doh, Junghyun (Tony) Koo, Marco Martínez-Ramírez, Woosung Choi, WeiHsiang Liao, Qiyu Wu, Juhan Nam, Yuki Mitsufuji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMS ON TRIAL: Evaluating Judicial Fairness For Large Language Models
Yiran HU, Zongyue Xue, Haitao Li, Siyuan Zheng, Qingjing Chen, Shaochun Wang, Xihan Zhang, Ning Zheng, Yun Liu, Qingyao Ai, Yiqun LIU, Charles L. A. Clarke, Weixing Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs Can Hide Text in Other Text of the Same Length
Antonio Norelli, Michael Bronstein
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs Get Lost In Multi-Turn Conversation
Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs Process Lists With General Filter Heads
Arnab Sen Sharma, Giordano Rogers, Natalie Shapira, David Bau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs Struggle to Balance Reasoning and World Knowledge in Causal Narrative Understanding
Khurram Yamin, Shantanu Gupta, Gaurav Ghosal, Zachary Lipton, Bryan Wilder
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Thomas Schmied, Jörg Bornschein, Jordi Grau-Moya, Markus Wulfmeier, Razvan Pascanu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking
Junhong Wu, Jinliang Lu, Zixuan Ren, Gangqiang Hu, Zhi Wu, Dai Dai, hua wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments
Joseph Peper, Sai Krishna Gandra, Yunxiang Zhang, Vaibhav Chennareddy, Shloki Jha, Ali Payani, Lu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLaVA-4D: Embedding SpatioTemporal Prompt into LMMs for 4D Scene Understanding
Hanyu Zhou, Gim H Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
Pengcheng Zheng, Chaoning Zhang, Jiarong Mo, Guohui Li, Jiaquan Zhang, Jiahao Zhang, Sihan Cao, Sheng Zheng, Caiyan Qin, Guoqing Wang, Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LLaVAction: evaluating and training multi-modal large language models for action understanding
Haozhe Qi, Shaokai Ye, Alexander Mathis, Mackenzie Mathis
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LMask: Learn to Solve Constrained Routing Problems with Lazy Masking
Tianyou Li, Haijun Zou, JIAYUAN WU, Zaiwen Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LORE: Jointly Learning The Intrinsic Dimensionality and Relative Similarity Structure from Ordinal Data
Vivek Anand, Alec Helbling, Mark Davenport, Gordon Berman, Sankaraleengam Alagapan, Christopher Rozell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LRIM: a Physics-Based Benchmark for Provably Evaluating Long-Range Capabilities in Graph Learning
Joël Mathys, Henrik Christiansen, Federico Errica, Takashi Maruyama, Francesco Alesiani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LS-Merge: Merging Language Models in Latent Space
Bedionita Soro, Aoxuan Zhang, Bruno Andreis, Jaehyeong Jo, Song Chong, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LSA: Layer-wise Sparsity Allocation for Large Language Model Pruning Based on Minimal Linear Reconstruction Error
Zhiguo Yang, Changjian Deng, Qinke Chen, Zijing Zhou, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals
Min-Hsuan Yeh, Sharon Li, Tanwi Mallick
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration
Alessio Spagnoletti, Andres Almansa, Marcelo Pereyra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, Karsten Kreis, Arash Vahdat
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Haoqiang Kang, Yizhe Zhang, Nikki Kuang, Nicklas Majamaki, Navdeep Jaitly, Yian Ma, Lianhui Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
Wenkai Yang, Weijie Liu, Ruobing Xie, Yiju Guo, Lulu Wu, Saiyong Yang, Yankai Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LaTo: Landmark-tokenized Diffusion Transformer for Fine-grained Human Face Editing
Zhenghao zhang, Ziying Zhang, Junchao Liao, Xiangyu Meng, Qiang Hu, Siyu Zhu, Xiaoyun Zhang, Long Qin, Weizhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LaVCa: LLM-assisted Visual Cortex Captioning
Takuya Matsuyama, Shinji Nishimoto, Yu Takagi
Machine Learning
日本大学: 名古屋工業大学 / 大阪大学
2026 · ICLR
Label Smoothing Improves Machine Unlearning
Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Label-Free Mitigation of Spurious Correlations in VLMs using Sparse Autoencoders
Bharat Chandra Yalavarthi, Nalini Ratha, Venu Govindaraju
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
Benjamin Chou, Purvish Jajal, Nicholas Eliopoulos, James Davis, George Thiruvathukal, Kristen Yun, Yung-Hsiang Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Landing with the Score: Riemannian Optimization through Denoising
Andrey Kharitenko, Zebang Shen, Riccardo De Santi, Niao He, Florian Dorfler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
(Andrew) Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
David Bani-Harouni, Chantal Pellegrini, Ege Özsoy, Nassir Navab, Matthias Keicher
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
Collin Zhang, Fei Huang, Chenhan Yuan, Junyang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language Identification in the Limit with Computational Trace
Binghui Peng, Amin Saberi, Grigoris Velegkas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language Models Use Lookbacks to Track Beliefs
Nikhil Prakash, Natalie Shapira, Arnab Sen Sharma, Christoph Riedl, Yonatan Belinkov, Tamar Shaham, David Bau, Atticus Geiger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language Models are Injective and Hence Invertible
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi, Andrea Santilli, Yannis Panagakis, Emanuele Rodolà
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language and Experience: A Computational Model of Social Learning in Complex Tasks
Cédric Colas, Tracey Mills, Ben Prystawski, Michael Tessler, Noah Goodman, Jacob Andreas, Joshua B Tenenbaum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language-Instructed Vision Embeddings for Controllable and Generalizable Perception
Chengzhi Mao, Xudong Lin, Wen-Sheng Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Language-guided Open-world Video Anomaly Detection under Weak Supervision
Zihao Liu, Xiaoyu Wu, Jianqin Wu, Xuxu Wang, Linlin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LapFlow: Laplacian Multi-scale Flow Matching for Generative Modeling
Zelin Zhao, Petr Molodyk, Haotian Xue, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Laplacian Kernelized Bandit
Shuang Wu, Arash Amini
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
Zhe Feng, Sen Lian, Changwei Wang, Muyang Zhang, Tianlong Tan, Rongtao Xu, Weiliang Meng, Xiaopeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Large Depth Completion Model from Sparse Observations
Zhu Yu, zhengyi zhao, Runmin Zhang, Lingteng Qiu, Kejie Qiu, Yisheng He, Siyu Zhu, Zilong Dong, Si-Yuan Cao, Hui-liang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Large Language Model Compression with Global Rank and Sparsity Optimization
Changhai Zhou, Qian Qiao, Yuhua Zhou, Yuxin Wu, Shichao Weng, WEIZHONG ZHANG, Cheng Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression
Tingkai Yan, Haodong Wen, Binghui Li, Kairong Luo, Wenguang Chen, Kaifeng Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better
Ji Zhao, Shitong Shao, Yufei Gu, Xun Zhou, liang xiang, Zeke Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Adaptation of Foundation Policies for Sim-to-Real Transfer
Longchao Da, T Kutralingam, Lirong Xiang, Hua Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Concept Disentanglement in Transformer-based Language Models
Guan Zhe Hong, Bhavya Vasudeva, Vatsal Sharan, Cyrus Rashtchian, Prabhakar Raghavan, Rina Panigrahy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Denoising Makes Good Tokenizers
Jiawei Yang, Tianhong Li, Lijie Fan, Yonglong Tian, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Diffusion Model without Variational Autoencoder
Minglei Shi, Haolin Wang, Wenzhao Zheng, Ziyang Yuan, Xiaoshi Wu, Xintao WANG, Pengfei Wan, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Fourier Transform
Mason Wang, Anna Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Geometry-Driven Network Automata for Complex Network Dismantling
Thomas Adler, Marco Grassia, Ziheng Liao, Giuseppe Mangioni, Carlo Vittorio Cannistraci
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Tal Daniel, Carl Qi, Dan Haramati, Amir Zadeh, Chuan Li, Aviv Tamar, Deepak Pathak, David Held
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Planning Emerges with Scale
Michael Hanna, Emmanuel Ameisen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Speech-Text Transformer
Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesus Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srini Iyer, Duc Le
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Latent Stochastic Interpolants
Saurabh Singh, Dmitry Lagun
Machine Learning
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