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
DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
Saman Forouzandeh, Parham Moradi Dowlatabadi, Mahdi Jalili
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distilling Dataset into Neural Field
Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son, Soochan Lee, Gunhee Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distilling Structural Representations into Protein Sequence Models
Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krähenbühl, Adam Klivans, Daniel Diaz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distribution-Free Data Uncertainty for Neural Network Regression
Domokos M. Kelen, Ádám Jung, Péter Kersch, Andras Benczur
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distribution-Specific Agnostic Conditional Classification With Halfspaces
Jizhou Huang, Brendan Juba
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
Lei Chen, Joan Bruna, Alberto Bietti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Divergence of Neural Tangent Kernel in Classification Problems
Zixiong Yu, Songtao Tian, Guhan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
Runyu Lu, Yuanheng Zhu, Dongbin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning
Yilun Li, Miaomiao Cheng, Xu Han, Wei Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Kong hansheng, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, QIANG FU, Yang Wei, Haobo Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Diverse Preference Learning for Capabilities and Alignment
Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Ramapura Narasimha Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Diversity-Rewarded CFG Distillation
Geoffrey Cideron, Andrea Agostinelli, Johan Ferret, Sertan Girgin, Romuald Elie, Olivier Bachem, Sarah Perrin, Alexandre Rame
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
Haining Yu, Yizhou Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Deep Neural Network Solutions Form a Star Domain?
Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions?
BOSHEN XU, Ziheng Wang, Yang Du, Zhinan Song, Sipeng Zheng, Qin Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
Javier Ferrando, Oscar Obeso, Senthooran Rajamanoharan, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
Chanwoo Park, Xiangyu Liu, Asuman Ozdaglar, Kaiqing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do LLMs ``know'' internally when they follow instructions?
Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley Ren, Andrew Miller, Udhyakumar Nallasamy, Jaya Narain
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do LLMs estimate uncertainty well in instruction-following?
Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do LLMs have Consistent Values?
Naama Rozen, Liat Bezalel, Gal Elidan, Amir Globerson, Ella Daniel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Large Language Models Truly Understand Geometric Structures?
Xiaofeng Wang, Yiming Wang, Wenhong Zhu, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex
Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh Murthy, Samuel Gershman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
Tehila Dahan, Kfir Y Levy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Letitia Parcalabescu, Anette Frank
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities
Zheyuan Zhang, Fengyuan Hu, Jayjun Lee, Freda Shi, Parisa Kordjamshidi, Joyce Chai, Ziqiao Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators
Ariel Elnekave, Yair Weiss
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
Yeongjae Cho, Keonwoo Kim, Taebaek Hwang, Sungzoon Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Do as We Do, Not as You Think: the Conformity of Large Language Models
Zhiyuan Weng, Guikun Chen, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning
Chao Li, Ziwei Deng, Chenxing Lin, Wenqi Chen, Yongquan Fu, Weiquan Liu, Chenglu Wen, Cheng Wang, Siqi Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Does Refusal Training in LLMs Generalize to the Past Tense?
Maksym Andriushchenko, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Does SGD really happen in tiny subspaces?
Minhak Song, Kwangjun Ahn, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
Sravanti Addepalli, Yerram Varun, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Does Spatial Cognition Emerge in Frontier Models?
Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao, Jie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
Jincheng Zhong, XiangCheng Zhang, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
Ghada Sokar, Johan S Obando Ceron, Aaron Courville, Hugo Larochelle, Pablo Samuel Castro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Doubly Optimal Policy Evaluation for Reinforcement Learning
Shuze Liu, Claire Chen, Shangtong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Doubly robust identification of treatment effects from multiple environments
Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
Weifeng Lin, Xinyu Wei, Ruichuan An, Gao Peng, Bocheng Zou, Yulin Luo, Siyuan Huang, Shanghang Zhang, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, chunrui han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, XINYANG JIANG, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dreamweaver: Learning Compositional World Models from Pixels
Junyeob Baek, Yi-Fu Wu, Gautam Singh, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki
Machine Learning
日本大学: 東京科学大学 / 東北大学
2025 · ICLR
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand, Michael Lepori, Jack Merullo, Ellie Pavlick
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
Andy (DiJia) Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Duoduo CLIP: Efficient 3D Understanding with Multi-View Images
Han-Hung Lee, Yiming Zhang, Angel Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Durable Quantization Conditioned Misalignment Attack on Large Language Models
Peiran Dong, Haowei Li, Song Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DyCAST: Learning Dynamic Causal Structure from Time Series
Yue Cheng, Bochen Lyu, Weiwei Xing, Zhanxing Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
HAN SUN, Rui Gong, Ismail Nejjar, Olga Fink
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
Shurong Wang, Zhuoyang Shen, Xinbao Qiao, Tongning Zhang, Meng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DynaPrompt: Dynamic Test-Time Prompt Tuning
Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Assortment Selection and Pricing with Censored Preference Feedback
Jung-hun Kim, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
Jinwoo Choi, Seung-Woo Seo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Diffusion Transformer
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes
Isabella Liu, Hao Su, Xiaolong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans Arno Jacobsen, Yingbin Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Low-Rank Sparse Adaptation for Large Language Models
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo, Zhenglin Cheng, Xiaoying Tang, Zhaopeng Tu, Tao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts
Chenwei Wu, Zitao Shuai, Zhengxu Tang, Luning Wang, Liyue Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
Yue Yang, Shuibo Zhang, Kaipeng Zhang, Yi Bin, Yu Wang, Ping Luo, Wenqi Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Negative Guidance of Diffusion Models
Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
Chien-yu Huang, Wei-Chih Chen, Shu-wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Chih-Kai Yang, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Fabian Ritter Gutierrez, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, CHUANG To, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor Rodrigues Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, KUAN CHIANG, Chi-An Fu, Hsien-Fu Hsiao, Ching Hsu, Shao-Syuan Huang, Lee Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Wei Chiang, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes
Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao, Ziwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
Jie Zhang, Zhongqi Wang, Mengqi Lei, Zheng Yuan, Bei Yan, Shiguang Shan, Xilin CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
E(3)-equivariant models cannot learn chirality: Field-based molecular generation
Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
E(n) Equivariant Topological Neural Networks
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation
Carl Qi, Dan Haramati, Tal Daniel, Aviv Tamar, Amy Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
Pin Chen, Zexin Xu, Qing Mo, Hongjin Zhong, Fengyang Xu, Yutong Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ECHOPulse: ECG Controlled Echocardio-gram Video Generation
Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EFFICIENT JAILBREAK ATTACK SEQUENCES ON LARGE LANGUAGE MODELS VIA MULTI-ARMED BANDIT-BASED CONTEXT SWITCHING
Aditya Ramesh, Shivam Bhardwaj, Aditya Saibewar, Manohar Kaul
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EG4D: Explicit Generation of 4D Object without Score Distillation
Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin, Wengang Zhou, Jing Liao, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning, Eric Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
Haizhong Zheng, Elisa Tsai, Yifu Lu, Jiachen Sun, Brian Bartoldson, Bhavya Kailkhura, Atul Prakash
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ELICIT: LLM Augmentation Via External In-context Capability
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Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
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Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
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Machine Learning
日本大学: 関与なし（対象大学）