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
ESE: Espresso Sentence Embeddings
Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY
Chenrui Tie, Yue Chen, Ruihai Wu, Boxuan Dong, Zeyi Li, Chongkai Gao, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
Yi Ding, Bolian Li, Ruqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective
Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, Xiang Zhou, Jingang Wang, Xunliang Cai, Peng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance
Shifeng Xu, Yanzhu Liu, Adams Kong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EcoFace: Audio-Visual Emotional Co-Disentanglement Speech-Driven 3D Talking Face Generation
Jiajian Xie, Shengyu Zhang, Mengze Li, chengfei lv, Zhou Zhao, Fei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu, Yinhan He, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Edge-aware Image Smoothing with Relative Wavelet Domain Representation
Huiqing Qi, Xiaoliu Luo, Tingting Li, Fang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation
Jiaxiang Tang, Max Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
Kaizhi Zheng, Xiaotong Chen, Xuehai He, Jing Gu, Linjie Li, Zhengyuan Yang, Kevin Lin, Jianfeng Wang, Lijuan Wang, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Simla Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Effective post-training embedding compression via temperature control in contrastive training
georgiana dinu, Corey Barrett, Yi Xiang, Miguel Romero Calvo, Anna Currey, Xing Niu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Active Imitation Learning with Random Network Distillation
Emilien Biré, Anthony Kobanda, Ludovic Denoyer, Rémy Portelas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
Aliyah Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri, Yaxuan Huang, Anobel Odisho, Peter Carroll, Bin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Biological Data Acquisition through Inference Set Design
Ihor Neporozhnii, Julien Roy, Emmanuel Bengio, Jason Hartford
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Causal Decision Making with One-sided Feedback
Jianing Chu, Shu Yang, Wenbin Lu, PULAK GHOSH
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Cross-Episode Meta-RL
Gresa Shala, André Biedenkapp, Pierre Krack, Florian Walter, Josif Grabocka
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Dictionary Learning with Switch Sparse Autoencoders
Anish Mudide, Josh Engels, Eric Michaud, Max Tegmark, Christian Schroeder de Witt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
Moritz Reuss, Jyothish Pari, Pulkit Agrawal, Rudolf Lioutikov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Ivan Butakov, Alexander Semenenko, Alexander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey Frolov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu, Tim Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Anthony GX-Chen, Kenneth Marino, Rob Fergus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Imitation under Misspecification
Nicolas Espinosa Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Inference for Large Language Model-based Generative Recommendation
Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Learning with Sine-Activated Low-Rank Matrices
Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu, Qinghua Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Jasmine Bayrooti, Carl Ek, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries
Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Off-Policy Learning for High-Dimensional Action Spaces
Fabian Otto, Philipp Becker, Vien A Ngo, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
Boning Li, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can, Eli Waxman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Claire Chen, Shuze Liu, Shangtong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Reinforcement Learning with Large Language Model Priors
Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou Ammar, Jun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel, Christopher M. Sandino, Behrooz Mahasseni, Ellen Zippi, Erdrin Azemi, Ali Moin, Juri Minxha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Sparse PCA via Block-Diagonalization
Alberto Del Pia, Dekun Zhou, Yinglun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Top-m Data Values Identification for Data Selection
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Bryan Kian Hsiang Low
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang, Josh Viktorov, Doosan Jung, Emily Pitler
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient and Accurate Explanation Estimation with Distribution Compression
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
Yushu Li, Yongyi Su, Adam Goodge, Kui Jia, Xun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets
Xu Wang, Fuyou Miao, Wenjie Liu, Yan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations
Xiuchuan Li, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficient stagewise pretraining via progressive subnetworks
Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, 余平郑, Wang Benyou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Efficiently Parameterized Neural Metriplectic Systems
Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition
Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
Jilan Xu, Yifei Huang, Baoqi Pei, Junlin Hou, Qingqiu Li, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie
Machine Learning
日本大学: 東京大学
2025 · ICLR
EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
Wei Yu, Songheng Yin, Steve Easterbrook, Animesh Garg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ElasticTok: Adaptive Tokenization for Image and Video
Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Eliciting Human Preferences with Language Models
Belinda Li, Alex Tamkin, Noah Goodman, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
Seyedmorteza Sadat, Otmar Hilliges, Romann Weber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham Kakade, Hao Peng, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Elliptic Loss Regularization
Ali Hasan, Haoming Yang, Yuting Ng, VAHID TAROKH
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Elucidating the Preconditioning in Consistency Distillation
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EmbedLLM: Learning Compact Representations of Large Language Models
Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EmbodiedSAM: Online Segment Any 3D Thing in Real Time
Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emily Cheng, Diego Doimo, Corentin Kervadec, Iuri Macocco, Lei Yu, Alessandro Laio, Marco Baroni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Emergence of meta-stable clustering in mean-field transformer models
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness
Haixin Zhong, Haoyu Wang, Wei Dai, Yuchao Huang, Mingyi Huang, Rubin Wang, Anna Roe, Yuguo Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning
Jiajun Chai, Sicheng Li, Yuqian Fu, Dongbin Zhao, Yuanheng Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
Bolun Sun, Yifan Zhou, Haiyun Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Matt Riemer, Gopeshh Raaj Subbaraj, Glen Berseth, Irina Rish
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Encryption-Friendly LLM Architecture
Donghwan Rho, Taeseong Kim, Minje Park, Jung Woo Kim, Hyunsik Chae, Ernest Ryu, Jung Hee Cheon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
Denis Blessing, Xiaogang Jia, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Endless Jailbreaks with Bijection Learning
Brian R.Y. Huang, Max Li, Leonard Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Endowing Visual Reprogramming with Adversarial Robustness
Shengjie Zhou, Xin Cheng, Haiyang Xu, Ming Yan, Tao Xiang, Feng Liu, Lei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Energy-based Backdoor Defense Against Federated Graph Learning
Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
Jinyoung Choi, Junoh Kang, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
Yongxin Guo, Xiaoying Tang, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
Shuangqi Li, Hieu Le, Jingyi Xu, Mathieu Salzmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information
Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong, Bo Zheng, Sheng Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing End-to-End Autonomous Driving with Latent World Model
Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
Machine Learning
日本大学: 東京科学大学
2025 · ICLR
Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control
Sunguk Shin, Youngjoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Language Model Agents using Diversity of Thoughts
Vijay Chandra Lingam, Behrooz Tehrani, sujay sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Learning with Label Differential Privacy by Vector Approximation
Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
Shufan Shen, Zhaobo Qi, Junshu Sun, Qingming Huang, Qi Tian, Shuhui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Prediction Performance through Influence Measure
Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer
XINYUE HU, Zhibin Duan, Bo Chen, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein
Machine Learning
日本大学: 関与なし（対象大学）