ICLR Papers
6,124 papers found • Page 22 of 123
Efficient Learning with Sine-Activated Low-Rank Matrices
Yiping Ji, Hemanth Saratchandran, Cameron Gordon et al.
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
Boyu Liu, Haoyu Huang, Linlin Yang et al.
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
Guorui Zheng, Xidong Wang, Juhao Liang et al.
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter, Sascha Bongni, Ido Hakimi et al.
Efficiently Parameterized Neural Metriplectic Systems
Anthony Gruber, Kookjin Lee, Haksoo Lim et al.
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
Bing Cao, Quanhao Lu, Jiekang Feng et al.
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
Jasmine Bayrooti, Carl Ek, Amanda Prorok
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li et al.
Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries
Hang Chen, Chufeng Tang, Xiao Li et al.
Efficient Off-Policy Learning for High-Dimensional Action Spaces
Fabian Otto, Philipp Becker, Vien A Ngo et al.
Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
Boning Li, Longbo Huang
Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
Zhiyuan Zhou, Andy Peng, Qiyang Li et al.
Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can et al.
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Claire Chen, Shuze Liu, Shangtong Zhang
Efficient Reinforcement Learning with Large Language Model Priors
Xue Yan, Yan Song, Xidong Feng et al.
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
Ziye Huang, Haoqi Yuan, Yuhui Fu et al.
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu, Qi Zeng, Gagandeep Singh
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel, Christopher M. Sandino, Behrooz Mahasseni et al.
Efficient Sparse PCA via Block-Diagonalization
Alberto Del Pia, Dekun Zhou, Yinglun Zhu
Efficient stagewise pretraining via progressive subnetworks
Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu et al.
Efficient Top-m Data Values Identification for Data Selection
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang, Josh Viktorov, Doosan Jung et al.
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition
Issar Tzachor, Boaz Lerner, Matan Levy et al.
EG4D: Explicit Generation of 4D Object without Score Distillation
Qi Sun, Zhiyang Guo, Ziyu Wan et al.
EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
Jilan Xu, Yifei Huang, Baoqi Pei et al.
EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
Wei Yu, Songheng Yin, Steve Easterbrook et al.
EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
Zeyi Liao, Lingbo Mo, Chejian Xu et al.
ElasticTok: Adaptive Tokenization for Image and Video
Wilson Yan, Volodymyr Mnih, Aleksandra Faust et al.
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning, Eric Nalisnick, Christophe Ley et al.
ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
Haizhong Zheng, Elisa Tsai, Yifu Lu et al.
Eliciting Human Preferences with Language Models
Belinda Li, Alex Tamkin, Noah Goodman et al.
ELICIT: LLM Augmentation Via External In-context Capability
Futing Wang, Jianhao (Elliott) Yan, Yue Zhang et al.
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
Seyedmorteza Sadat, Otmar Hilliges, Romann Weber
Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang, Hanlin Zhang, Xiner Li et al.
Elliptic Loss Regularization
Ali Hasan, Haoming Yang, Yuting Ng et al.
Elucidating the Preconditioning in Consistency Distillation
Kaiwen Zheng, Guande He, Jianfei Chen et al.
EmbedLLM: Learning Compact Representations of Large Language Models
Richard Zhuang, Tianhao Wu, Zhaojin Wen et al.
EmbodiedSAM: Online Segment Any 3D Thing in Real Time
Xiuwei Xu, Huangxing Chen, Linqing Zhao et al.
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emily Cheng, Diego Doimo, Corentin Kervadec et al.
Emergence of meta-stable clustering in mean-field transformer models
Giuseppe Bruno, Federico Pasqualotto, Andrea Agazzi
Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness
Haixin Zhong, Haoyu Wang, Wei Dai et al.
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye, Jingyi Chai, Xiangrui Liu et al.
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
Yifei Xing, Xiangyuan Lan, Ruiping Wang et al.
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
Junting Chen, Checheng Yu, Xunzhe Zhou et al.
Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning
Jiajun Chai, Sicheng Li, Yuqian Fu et al.
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
Bolun Sun, Yifan Zhou, Haiyun Jiang
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
Matt Riemer, Gopeshh Raaj Subbaraj, Glen Berseth et al.
Encryption-Friendly LLM Architecture
Donghwan Rho, Taeseong Kim, Minje Park et al.
Endless Jailbreaks with Bijection Learning
Brian R.Y. Huang, Max Li, Leonard Tang