ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton, Robert Ness, John Guttag, Emre Kiciman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Ward: Provable RAG Dataset Inference via LLM Watermarks
Nikola Jovanović, Robin Staab, Maximilian Baader, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
Kai Jungel, Dario Paccagnan, Axel Parmentier, Maximilian Schiffer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
Hao-Chien Hsueh, Wen-Hsiao Peng, Ching-Chun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wasserstein Distances, Neuronal Entanglement, and Sparsity
Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir Shavit
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wasserstein-Regularized Conformal Prediction under General Distribution Shift
Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy
Wang, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Watermark Anything With Localized Messages
Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Shengpeng Ji, Ziyue Jiang, Wen Wang, Yifu Chen, Minghui Fang, Jialong Zuo, Qian Yang, Xize Cheng, zehan wang, Ruiqi Li, Ziang Zhang, Xiaoda Yang, Rongjie Huang, YIDI JIANG, Qian Chen, Siqi Zheng, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wavelet Diffusion Neural Operator
Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wavelet-based Positional Representation for Long Context
Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wayward Concepts In Multimodal Models
Brandon Trabucco, Max Gurinas, Kyle Doherty, Russ Salakhutdinov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weak to Strong Generalization for Large Language Models with Multi-capabilities
Yucheng Zhou, Jianbing Shen, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weak-to-Strong Generalization Through the Data-Centric Lens
Changho Shin, John Cooper, Frederic Sala
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model
Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors
Peiran Xu, Yadong MU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning
Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
Hyungjoo Chae, Namyoung Kim, Kai Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Jiadai Sun, Xinyue Yang, Yu Yang, Shuntian Yao, Wei Xu, Jie Tang, Yuxiao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation
Sua Lee, Kyubum Shin, Jung Ho Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
Toshimitsu Uesaka, Taiji Suzuki, Yuhta Takida, Chieh-Hsin Lai, Naoki Murata, Yuki Mitsufuji
Machine Learning
日本大学: 東京大学
2025 · ICLR
Weighted-Reward Preference Optimization for Implicit Model Fusion
Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Are Good Positional Encodings for Directed Graphs?
Yinan Huang, Haoyu Wang, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
Harish Babu Manogaran, M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Caleb Charpentier, Josef Uyeda, Wasla Dahdul, Matthew Thompson, Elizabeth Campolongo, Kaiya Provost, Wei-Lun Chao, Tanya Berger-Wolf, Paula Mabee, Hilmar Lapp, Anuj Karpatne
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
Weronika Ormaniec, Felix Dangel, Sidak Pal Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Negrevergne, Gabriel Synnaeve
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Makes a Maze Look Like a Maze?
Joy Hsu, Jiayuan Mao, Joshua B Tenenbaum, Noah Goodman, Jiajun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Guangkai Xu, yongtao ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Matters in Learning from Large-Scale Datasets for Robot Manipulation
Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige, Kuancheng Wang, Woo Shin, Soroush Nasiriany, Ajay Mandlekar, Danfei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What is Wrong with Perplexity for Long-context Language Modeling?
Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What should a neuron aim for? Designing local objective functions based on information theory
Andreas C. Schneider, Valentin Neuhaus, David Ehrlich, Abdullah Makkeh, Alexander S Ecker, Viola Priesemann, Michael Wibral
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What to align in multimodal contrastive learning?
Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia, Jean-Philippe Thiran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
What's New in My Data? Novelty Exploration via Contrastive Generation
Masaru Isonuma, Ivan Titov
Machine Learning
日本大学: 東北大学
2025 · ICLR
What's the Move? Hybrid Imitation Learning via Salient Points
Priya Sundaresan, Hengyuan Hu, Quan Vuong, Jeannette Bohg, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When Attention Sink Emerges in Language Models: An Empirical View
Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu, Fengzhuo Zhang, Cunxiao Du, Ye Wang, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach
Qian Chen, Lei Li, Qian Li, Jianghua Wu, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang, Qingjiang Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings
Jérémy Perez, Grgur Kovac, Corentin Léger, Cédric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clément Moulin-Frier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
Zhenchang Xing, Yang Liu, Zhuo Cheng, Qing Huang, Dehai Zhao, Daniel SUN, Chenhua Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When Selection Meets Intervention: Additional Complexities in Causal Discovery
Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When do GFlowNets learn the right distribution?
Tiago Silva, Rodrigo Alves, Eliezer de Souza da Silva, Amauri Souza, Vikas Garg, Samuel Kaski, Diego Mesquita
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When does compositional structure yield compositional generalization? A kernel theory.
Samuel Lippl, Kimberly Stachenfeld
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
Hongkang Li, Yihua Zhang, shuai ZHANG, Pin-Yu Chen, Sijia Liu, Meng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
Zechen Zhang, Haim Sompolinsky
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
Junyi Chen, Di Huang, Weicai Ye, Wanli Ouyang, Tong He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
Sha Guo, Jing Chen, Zixuan Hu, Zhuo Chen, Wenhan Yang, Yu Lin, Xing Jiang, LINGYU DUAN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Why Does the Effective Context Length of LLMs Fall Short?
Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Why In-Context Learning Models are Good Few-Shot Learners?
Shiguang Wu, Yaqing Wang, Quanming Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Hung Quang Nguyen, Hieu Nguyen, Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Thanh Tung Hoang, Khoa Doan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
Arthur Jacot, Peter Súkeník, Zihan Wang, Marco Mondelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
Omer Sahin Tas, Royden Wagner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
World Model on Million-Length Video And Language With Blockwise RingAttention
Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale
Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing
Xinyan Chen, Jianfei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
XiaoChen Zhao, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang, Xiu Li, Linjie Luo, Jinli Suo, Yebin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
XAIguiFormer: explainable artificial intelligence guided transformer for brain disorder identification
Hanning Guo, Farah Abdellatif, Yu Fu, N. Shah, Abigail Morrison, Jürgen Dammers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Vladislav Kurenkov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
Garrett Tanzer, Biao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks
Zixuan Xiong, Guangwei Xu, wenkai zhang, Yuan Miao, Xuan Wu, LinHai, Ruijie Guo, Hai-Tao Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
Ziyue Li, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Your Weak LLM is Secretly a Strong Teacher for Alignment
Leitian Tao, Yixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
Jan-Matthis Lueckmann, Alexander Immer, Alex Chen, Peter Li, Mariela Petkova, Nirmala Iyer, Luuk Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff Lichtman, Misha Ahrens, Michal Januszewski, Viren Jain
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
Qiuhao Zeng, Jierui Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zero-Shot Natural Language Explanations
Fawaz Sammani, Nikos Deligiannis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zero-cost Proxy for Adversarial Robustness Evaluation
Yuqi Feng, Yuwei Ou, Jiahao Fan, Yanan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner, Ramses Sanchez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang, William Gilpin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
Zihan Ye, Shreyank Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Qining Zhang, Lei Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
Lichen Bai, Shitong Shao, zikai zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
cryoSPHERE: Single-Particle HEterogeneous REconstruction from cryo EM
Gabriel Claude Jean Ducrocq, Lukas Grunewald, Sebastian Westenhoff, Fredrik Lindsten
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi, Francesco Tudisco
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
Alexander DeRieux, Walid Saad
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians
Can Zhang, Gim H Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya Joshi, Arian Jamasb, Ramon Viñas, Charles Harris, Simon Mathis, Alex Morehead, Rishabh Anand, Pietro Lio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
h4rm3l: A Language for Composable Jailbreak Attack Synthesis
Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia, Davide Ghilardi, Anna Goldie, Federico Bianchi, Dan Jurafsky, Christopher Manning
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers
Themistoklis Haris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
Alex Kipnis, Konstantinos Voudouris, Luca Schulze Buschoff, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
miniCTX: Neural Theorem Proving with (Long-)Contexts
Jiewen Hu, Thomas Zhu, Sean Welleck
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
nGPT: Normalized Transformer with Representation Learning on the Hypersphere
Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
Shentong Mo, Xufang Luo, Dongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
qNBO: quasi-Newton Meets Bilevel Optimization
Sheng Fang, Yongjin Liu, Wei Yao, Chengming Yu, Jin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
u-$\mu$P: The Unit-Scaled Maximal Update Parametrization
Charles Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Prince, Björn Deiseroth, Andres Felipe Cruz Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr
Machine Learning
日本大学: 関与なし（対象大学）