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2022–2026 LIVE

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Machine Learning

2025 · 3,703 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。

2025 · ICLR
KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks
Dominik Scheuer, Frederic Runge, Jörg Franke, Michael Wolfinger, Christoph Flamm, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
Michael Matthews, Michael Beukman, Chris Lu, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
Xin Gu, Yaojie Shen, Chenxi Luo, Tiejian Luo, Yan Huang, YUEWEI LIN, Heng Fan, Libo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
Jiyeon Kim, Hyunji Lee, Hyowon Cho, Joel Jang, Hyeonbin Hwang, Seungpil Won, Youbin Ahn, Dohaeng Lee, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Kolmogorov-Arnold Transformer
Xingyi Yang, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
Ronghua Zheng, Hanru Bai, Weiyang Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Kronecker Mask and Interpretive Prompts are Language-Action Video Learners
Jingyi Yang, Zitong YU, Nixiuming, He Jia, Hui Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement
Morgan B Talbot, Gabriel Kreiman, James DiCarlo, Guy Gaziv
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
L3Ms — Lagrange Large Language Models
Guneet Singh Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding
Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
JUNRU SONG, Yang Yang, Huan Xiao, Wei Peng, Wen Yao, Feifei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LICO: Large Language Models for In-Context Molecular Optimization
Tung Nguyen, Aditya Grover
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning
Zhuorui Ye, Stephanie Milani, Geoff Gordon, Fei Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh
Jing Wen, Alex Schwing, Shenlong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLM Unlearning via Loss Adjustment with Only Forget Data
Yaxuan Wang, Jiaheng Wei, Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan Reddy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases
Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension
Amaia Cardiel, Eloi Zablocki, Elias Ramzi, Oriane Siméoni, MATTHIEU CORD
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
caigao jiang, Xiang Shu, Hong Qian, Xingyu Lu, JUN ZHOU, Aimin Zhou, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLMs Can Plan Only If We Tell Them
Bilgehan Sel, Ruoxi Jia, Ming Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing
Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael Ryoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun MA, Chunyuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
Shaolei Zhang, Qingkai Fang, Yang, Yang Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
Fangxun Shu, Yue Liao, Lei Zhang, Le Zhuo, Chenning Xu, Guanghao Zhang, Haonan Shi, Weilong Dai, ZhongTao, Zhelun Yu, Wanggui He, Siming Fu, Haoyuan Li, Si Liu, Hongsheng Li, Hao Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently
Xue Han, Yitong Wang, Junlan Feng, wenchun.gao, Qian Hu, Chao Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai, Hengrui Kang, Jun He, Honglin Lin, Zihao Wang, Tong Wu, Zhizheng Wu, Yiping Chen, Dahua Lin, Conghui He, Weijia Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LR0.FM: LOW-RESOLUTION ZERO-SHOT CLASSIFICATION BENCHMARK FOR FOUNDATION MODELS
Priyank Pathak, Shyam Marjit, Shruti Vyas, Yogesh S Rawat
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias
Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
Zhe Li, Weihao Yuan, Yisheng He, Lingteng Qiu, Shenhao Zhu, Xiaodong Gu, Weichao Shen, Yuan Dong, Zilong Dong, Laurence Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye HAO, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
Federico Arangath Joseph, Jerome Sieber, Melanie Zeilinger, Carmen Amo Alonso
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace
Yan Yang, Bin Gao, Ya-xiang Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
Haque Ishfaq, Guangyuan Wang, Sami Islam, Doina Precup
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Guided Skill Discovery
Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Imbalance Driven Rewarding for Multilingual Self-improving
Wen Yang, Junhong Wu, Chen Wang, Chengqing Zong, Jiajun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Model Alignment in Multilingual Trolley Problems
Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Models Are Implicitly Continuous
Samuele Marro, Davide Evangelista, X. Huang, Emanuele La Malfa, Michele Lombardi, Michael Wooldridge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Models Learn to Mislead Humans via RLHF
Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Sam Bowman, He He, Shi Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Models Need Inductive Biases to Count Inductively
Yingshan Chang, Yonatan Bisk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Models are Advanced Anonymizers
Robin Staab, Mark Vero, Mislav Balunovic, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language Representations Can be What Recommenders Need: Findings and Potentials
Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language models scale reliably with over-training and on downstream tasks
Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, Suchin Gururangan, Mitchell Wortsman, Rulin Shao, Jean Mercat, Alex Fang, Jeffrey Li, Sedrick Keh, Rui Xin, Marianna Nezhurina, Igor Vasiljevic, Luca Soldaini, Jenia Jitsev, Alex Dimakis, Gabriel Ilharco, Pang Wei Koh, Shuran Song, Thomas Kollar, Yair Carmon, Achal Dave, Reinhard Heckel, Niklas Muennighoff, Ludwig Schmidt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language-Assisted Feature Transformation for Anomaly Detection
EungGu Yun, Heonjin Ha, Yeongwoo Nam, Bryan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Language-Image Models with 3D Understanding
Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Convolutional Model Tuning via Filter Subspace
Wei Chen, Zichen Miao, Qiang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Language Models Assume People are More Rational than We Really are
Ryan Liu, Jiayi Geng, Joshua Peterson, Ilia Sucholutsky, Thomas L. Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
Chengwen Qi, Ren Ma, Bowen Li, he du, Binyuan Hui, Jinwang Wu, Yuanjun Laili, Conghui He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Language Models Often Say One Thing and Do Another
Ruoxi Xu, Hongyu Lin, Xianpei Han, Jia Zheng, Weixiang Zhou, Le Sun, Yingfei Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Language Models are Interpretable Learners
Ruochen Wang, Si Si, Felix Yu, Dorothea Rothuizen, Cho-Jui Hsieh, Inderjit Dhillon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Language Models can Become Strong Self-Detoxifiers
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large Scale Knowledge Washing
Yu Wang, Ruihan Wu, Zexue He, Xiusi Chen, Julian McAuley
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lasso Bandit with Compatibility Condition on Optimal Arm
Harin Lee, Taehyun Hwang, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
Xufeng Cai, Jelena Diakonikolas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Latent Radiance Fields with 3D-aware 2D Representations
Chaoyi Zhou, Xi Liu, Feng Luo, Siyu Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang, Pei Zhang, Baosong Yang, Derek Wong, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Phillip Si, Peng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Law of the Weakest Link: Cross Capabilities of Large Language Models
Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, SHARAN NARANG, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lawma: The Power of Specialization for Legal Annotation
Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna Gummadi, Moritz Hardt, Michael Livermore
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Layerwise Recurrent Router for Mixture-of-Experts
Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, zili wang, Ivan Titov, Jie Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
Junwei Zhou, Xueting Li, Lu Qi, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Hantao Zhang, Yuhe Liu, Jiancheng Yang, Shouhong Wan, Xinyuan Wang, Wei Peng, Pascal Fua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lean-STaR: Learning to Interleave Thinking and Proving
Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan, Mohit Tiwari, Peiyang Song, Robert Joseph George, Chaowei Xiao, anima anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid
Tianyi Zhang, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learn Your Reference Model for Real Good Alignment
Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learn hybrid prototypes for multivariate time series anomaly detection
Ke-Yuan Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments
Hongjin SU, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Arik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding, Lei Wang, Liyun Zhu, Tom Gedeon, Piotr Koniusz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learned Reference-based Diffusion Sampler for multi-modal distributions
Maxence Noble, Louis Grenioux, Marylou Gabrié, Alain Oliviero Durmus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning 3D Perception from Others' Predictions
Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark Campbell, Kilian Weinberger, Bharath Hariharan, Wei-Lun Chao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Causal Alignment for Reliable Disease Diagnosis
Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, YU QIAO, Yizhou Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Chaos In A Linear Way
Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Clustering-based Prototypes for Compositional Zero-Shot Learning
Hongyu Qu, Jianan Wei, Xiangbo Shu, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Color Equivariant Representations
Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Continually by Spectral Regularization
Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, Andras Gyorgy, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Diagrams: A Graphical Language for Compositional Training Regimes
Mason Lary, Richard Samuelson, Alexander Wilentz, Alina Zare, Matthew Klawonn, James Fairbanks
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino, Tobias Pfaff, Nils Thuerey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain
Machine Learning
日本大学: 関与なし（対象大学）