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
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CameraCtrl: Enabling Camera Control for Video Diffusion Models
Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo DAI, Hongsheng Li, Ceyuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
Andrew Jesson, Nicolas Beltran-Velez, David Blei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
Qixun Wang, Yifei Wang, Xianghua Ying, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Knowledge Editing Really Correct Hallucinations?
Baixiang Huang, Canyu Chen, Xiongxiao Xu, Ali Payani, Kai Shu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Chenglei Si, Diyi Yang, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Simaan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph Lampert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can LLMs Solve Longer Math Word Problems Better?
Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can LLMs Understand Time Series Anomalies?
Zihao Zhou, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Large Language Models Understand Symbolic Graphics Programs?
Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Xiao, Katherine Collins, Joshua B Tenenbaum, Adrian Weller, Michael J Black, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can One Modality Model Synergize Training of Other Modality Models?
Jae-Jun Lee, Sung Whan Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
Yuheng Li, Wang Panpan, Haipeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Textual Gradient Work in Federated Learning?
Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Transformers Do Enumerative Geometry?
Baran Hashemi, Roderic Corominas, Alessandro Giacchetto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
Eunseop Yoon, Hee Suk Yoon, Mark Hasegawa-Johnson, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip Yu, Xuming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can Watermarks be Used to Detect LLM IP Infringement For Free?
Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can We Ignore Labels in Out of Distribution Detection?
Hong Yang, Qi Yu, Travis Desell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can We Talk Models Into Seeing the World Differently?
Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
Ruochen Jiao, Shaoyuan Xie, Justin Yue, TAKAMI SATO, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu
Machine Learning
日本大学: 慶應義塾大学
2025 · ICLR
Can a Large Language Model be a Gaslighter?
Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Matan Rusanovsky, Or Hirschorn, Shai Avidan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Captured by Captions: On Memorization and its Mitigation in CLIP Models
Wenhao Wang, Adam Dziedzic, Grace Kim, Michael Backes, Franziska Boenisch
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Capturing the Temporal Dependence of Training Data Influence
Jiachen (Tianhao) Wang, Dawn Song, James Y Zou, Prateek Mittal, Ruoxi Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling
Matthew Fortier, Mats L. Richter, Oliver Sonnentag, Christopher Pal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
Zheng Chong, Xiao Dong, Haoxiang Li, shiyue Zhang, Wenqing Zhang, Hanqing Zhao, xujie zhang, Dongmei Jiang, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Cauchy-Schwarz Regularizers
Sueda Taner, Ziyi Wang, Christoph Studer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Graphical Models for Vision-Language Compositional Understanding
Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto, Lorenzo Baraldi, Rita Cucchiara
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Identification for Complex Functional Longitudinal Studies
Andrew Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Information Prioritization for Efficient Reinforcement Learning
Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth Balasubramanian, Amit Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causal Representation Learning from Multimodal Biomedical Observations
Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P Xing, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG, Song Guo, Sikai Bai, Peiran Dong, Yue Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Centrality-guided Pre-training for Graph
Bin Liang, Shiwei Chen, Lin Gui, HUI WANG, Yue Yu, Ruifeng Xu, Kam-Fai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images
Canfer Akbulut, Kevin Robinson, Maribeth Rauh, Isabela Albuquerque, Olivia Wiles, Laura Weidinger, Verena Rieser, Yana Hasson, Nahema Marchal, Iason Gabriel, William Isaac, Lisa Hendricks
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Certified Robustness Under Bounded Levenshtein Distance
Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Certifying Counterfactual Bias in LLMs
Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
Bowei He, Lihao Yin, Huiling Zhen, Jianping Zhang, Lanqing HONG, Mingxuan Yuan, Chen Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Zhenyu Pan, Haozheng Luo, Manling Li, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
Jiyang Zheng, Jialiang Shen, Yu Yao, Min Wang, Yang Yang, Dadong Wang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
Chenxiao Yang, Zhiyuan Li, David Wipf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Chain-of-region: Visual Language Models Need Details for Diagram Analysis
Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
Cheng Yang, Chufan Shi, Yaxin Liu, Bo Shui, JUNJIE WANG, Mohan Jing, Linran XU, Xinyu Zhu, Siheng Li, Yuxiang Zhang, Gongye Liu, Xiaomei Nie, Deng Cai, Yujiu Yang
Machine Learning
日本大学: 早稲田大学
2025 · ICLR
ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
Zhengzhuo Xu, Bowen Qu, Yiyan Qi, SiNan Du, Chengjin Xu, Chun Yuan, Jian Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Charting the Design Space of Neural Graph Representations for Subgraph Matching
Vaibhav Raj, Indradyumna Roy, Ashwin Ramachandran, Soumen Chakrabarti, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction
Hyukjun Lim, Sun Kim, Sangseon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning
Xiangru Tang, Tianyu Hu, Muyang Ye, Daniel Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Yuchen Shen, Chenhao Zhang, Sijie Fu, Chenghui Zhou, Newell Washburn, Barnabás Póczos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
Yein Park, Chanwoong Yoon, Jungwoo Park, Donghyeon Lee, Minbyul Jeong, Jaewoo Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Chunk-Distilled Language Modeling
Yanhong Li, Karen Livescu, Jiawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CipherPrune: Efficient and Scalable Private Transformer Inference
Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
Haoyuan Wu, Haisheng Zheng, Yuan Pu, Bei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Circuit Transformer: A Transformer That Preserves Logical Equivalence
Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang, Zhiyao Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs
Jinpeng Li, Haiping Wang, Jiabin chen, Yuan Liu, Zhiyang Dou, Yuexin Ma, Sibei Yang, Yuan Li, Wenping Wang, Zhen Dong, Bisheng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes
Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Class Distribution-induced Attention Map for Open-vocabulary Semantic Segmentations
Dong Un Kang, Hayeon Kim, Se Young Chun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games
Yanzheng Chen, Jun Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension
Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations
Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion
Xingqun Qi, Yatian Wang, Hengyuan Zhang, Jiahao Pan, Wei Xue, Shanghang Zhang, Wenhan Luo, Qifeng Liu, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CoInD: Enabling Logical Compositions in Diffusion Models
Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
Yunju Cho, Jay-Yoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CoMotion: Concurrent Multi-person 3D Motion
Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan Richter, Vladlen Koltun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Zhuoqing Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
Dung Nguyen, Thang Phan, Nam Le Hai, Thong Doan, Nam Nguyen, Quang Pham, Nghi Bui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark
Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang
Machine Learning
日本大学: 東京科学大学
2025 · ICLR
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Xu Bin, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Xu Bin, Xiaotao Gu, Yuxiao Dong, Jie Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ColPali: Efficient Document Retrieval with Vision Language Models
Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, CELINE HUDELOT, Pierre Colombo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
Souradip Chakraborty, Sujay Bhatt, Udari Sehwag, Soumya Suvra Ghosal, Jiahao Qiu, Mengdi Wang, Dinesh Manocha, Furong Huang, Alec Koppel, Sumitra Ganesh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Collapsed Language Models Promote Fairness
Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ComLoRA: A Competitive Learning Approach for Enhancing LoRA
Qiushi Huang, Tom Ko, Lilian Tang, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors
Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim H Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
The Viet Bui, Thanh Nguyen, Tien Mai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer Dunn, Hao Tang, Wei-Long Zheng, Yewen Pu, Kevin Ellis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Commit0: Library Generation from Scratch
Wenting Zhao, Nan Jiang, Celine Lee, Justin Chiu, Claire Cardie, Matthias Gallé, Alexander Rush
Machine Learning
日本大学: 関与なし（対象大学）