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
Federated Residual Low-Rank Adaption of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Lei Zhu, Rick Siow Mong Mong, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Feedback Favors the Generalization of Neural ODEs
Jindou Jia, Zihan Yang, Meng Wang, Kexin Guo, Jianfei Yang, Xiang Yu, Lei Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Feedback Schrödinger Bridge Matching
Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli, Guan-Horng Liu, Evangelos Theodorou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
Alberto Pepe, Mattia Montanari, Joan Lasenby
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms
Zhangheng LI, Keen You, Haotian Zhang, Di Feng, Harsh Agrawal, Xiujun Li, Mohana Moorthy, Jeffrey Nichols, Yinfei Yang, Zhe Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
Bryan Bo Cao, Lawrence OGorman, Michael Coss, Shubham Jain
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo XU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
Yujian Liu, Shiyu Chang, Tommi Jaakkola, Yang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Keisuke Kamahori, Tian Tang, Yile Gu, Kan Zhu, Baris Kasikci
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation
Kangfu Mei, Mo Zhou, Vishal Patel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Blanka Horvath, Frank Rudzicz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment
Aadirupa Saha, Pierre Gaillard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Find A Winning Sign: Sign Is All We Need to Win the Lottery
Junghun Oh, Sungyong Baik, Kyoung Mu Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Finding Shared Decodable Concepts and their Negations in the Brain
Cory Efird, Alex Murphy, Joel Zylberberg, Alona Fyshe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie Su, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi Jaakkola, Sergey Levine, Aviv Regev, Hanchen Wang, Tommaso Biancalani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fine-tuning can Help Detect Pretraining Data from Large Language Models
Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fine-tuning with Reserved Majority for Noise Reduction
Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
First-Person Fairness in Chatbots
Tyna Eloundou, Alex Beutel, David Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fitting Networks with a Cancellation Trick
Jiashun Jin, Jingming Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
Costin-Andrei Oncescu, Sanket Jayant Purandare, Stratos Idreos, Sham Kakade
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FlashMask: Efficient and Rich Mask Extension of FlashAttention
Guoxia Wang, Jinle Zeng, Xiyuan Xiao, Siming Wu, Jiabin Yang, Lujing Zheng, Zeyu Chen, Jiang Bian, Dianhai Yu, Haifeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
HyunKyu Lee, Sung Whan Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
Nikolaos Tsilivis, Gal Vardi, Julia Kempe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
Xunhao Lai, Jianqiao Lu, Yao Luo, Yiyuan Ma, Xun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning
Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim, Jaein Jang, Junghyun Lee, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors
Lin-Zhuo Chen, Kangjie Liu, Youtian Lin, Zhihao Li, Siyu Zhu, Xun Cao, Yao Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama
Machine Learning
日本大学: 東京大学
2025 · ICLR
Flow-based Variational Mutual Information: Fast and Flexible Approximations
Caleb Dahlke, Jason Pacheco
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Flow: Modularized Agentic Workflow Automation
Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FlowDec: A flow-based full-band general audio codec with high perceptual quality
Simon Welker, Matthew Le, Ricky T. Q. Chen, Wei-Ning Hsu, Timo Gerkmann, Alexander Richard, Yi-Chiao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Lijie Fan, Tianhong Li, Siyang Qin, Yuanzhen Li, Chen Sun, Michael Rubinstein, Deqing Sun, Kaiming He, Yonglong Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
Zhenting Qi, Hanlin Zhang, Eric P Xing, Sham Kakade, Hima Lakkaraju
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Following the Human Thread in Social Navigation
Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, Fabio Galasso
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
Muthu Chidambaram, Rong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip E. Tetlock
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration
Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang, Haris Šikić, Lothar Thiele, Olga Saukh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Forgetting Transformer: Softmax Attention with a Forget Gate
Zhixuan Lin, Evgenii Nikishin, Xu He, Aaron Courville
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Forking Paths in Neural Text Generation
Eric Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer Ullman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FormalAlign: Automated Alignment Evaluation for Autoformalization
Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Formation of Representations in Neural Networks
Liu Ziyin, Isaac Chuang, Tomer Galanti, Tomaso Poggio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly, Warren Morningstar, Andrew Yu, Vipin Chaudhary
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models
Jeffrey Gu, Serena Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
Nate Gillman, Daksh Aggarwal, Michael Freeman, Chen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Tal Amir, Nadav Dym
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models
Cong Fu, Xiner Li, Blake Olson, Heng Ji, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Frame-Voyager: Learning to Query Frames for Video Large Language Models
Sicheng Yu, CHENGKAI JIN, Huanyu Wang, Zhenghao Chen, Sheng JIn, ZHONGRONG ZUO, Xiaolei XU, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Framer: Interactive Frame Interpolation
Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
zhengqiang ZHANG, Ruihuang Li, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FreSh: Frequency Shifting for Accelerated Neural Representation Learning
Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemysław Spurek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen, Markus Heinonen, Arno Solin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
Shihao Shao, Haoran Geng, Zun Wang, Qinghua Cui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FreeVS: Generative View Synthesis on Free Driving Trajectory
Qitai Wang, Lue Fan, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
Yunlong Yuan, Yuanfan Guo, Chunwei Wang, Wei Zhang, Hang Xu, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Amin Karimi Monsefi, Mengxi Zhou, Nastaran Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Attention to Activation: Unraveling the Enigmas of Large Language Models
Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Commands to Prompts: LLM-based Semantic File System for AIOS
Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
Zhaojing Wen, Qiulin Zhang, Yuan Zhang, Rudan Chen, Xichao Yang, Di Xie, Jiang Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan Arik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs
Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clementine Domine, Nicolas Anguita, Alexandra M Proca, Lukas Braun, Daniel Kunin, Pedro Mediano, Andrew Saxe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Jansen, Ben Van Durme, Peter Clark
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities
Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy
Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liśkiewicz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Promise to Practice: Realizing High-performance Decentralized Training
Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč, Eric Moulines, Maxim Panov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Search to Sampling: Generative Models for Robust Algorithmic Recourse
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen, Huaqing Zhang, Hongzhou Lin, Jingzhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Tokens to Lattices: Emergent Lattice Structures in Language Models
Bo Xiong, Steffen Staab
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From Tokens to Words: On the Inner Lexicon of LLMs
Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle
Kaustubh Vyas, Damien Graux, Yijun Yang, Sebastien Montella, Chenxin Diao, Wendi Zhou, Pavlos Vougiouklis, Ruofei Lai, Yang Ren, Keshuang Li, J Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fugatto 1: Foundational Generative Audio Transformer Opus 1
Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joao Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander Liu, Kevin Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fully-inductive Node Classification on Arbitrary Graphs
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael Bronstein, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fundamental Limitations on Subquadratic Alternatives to Transformers
Josh Alman, Hantao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani, Chenyang Li, Zhao Song, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing HONG, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
Dingdong Yang, Yizhi Wang, Konrad Schindler, Ali Mahdavi Amiri, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
Aishwarya Jayagopal, Yanrong Zhang, Robert Walsh, Tuan Tan, Anand Jeyasekharan, Vaibhav Rajan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
Xiaojian Lin, Hanhui Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation
Hongyin Zhang, Pengxiang Ding, Shangke Lyu, Ying Peng, Donglin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering
Hongze CHEN, Zehong Lin, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang, Peng Sun, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GLOMA: Global Video Text Spotting with Morphological Association
Han Wang, Yanjie Wang, Yang Li, Can Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
GMValuator: Similarity-based Data Valuation for Generative Models
Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Y Zou, Xiaoxiao Li
Machine Learning
日本大学: 関与なし（対象大学）