Papers
Erase Diffusion: Empowering Object Removal Through Calibrating Diffusion Pathways
Yi Liu, Hao Zhou, Benlei Cui et al.
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang et al.
ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors
Qinchan Li, Sophie Hao
Erasing Concept Combination from Text-to-Image Diffusion Model
hongyi nie, Quanming Yao, Yang Liu et al.
Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic et al.
Erasing Undesirable Influence in Diffusion Models
Jing Wu, Trung Le, Munawar Hayat et al.
ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning
Jingwen Wang, Dehui du, Lili Tian et al.
eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback
Zhexiong Liu, Diane Litman, Elaine L Wang et al.
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions
Xin Yang, Xin Zhang, Xinchao Wang
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract)
Guanwen Xie, Jingzehua Xu, Yiyuan Yang et al.
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do et al.
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
Xingke Song, Xiaoying Yang, Chenglin Yao et al.
ERM++: An Improved Baseline for Domain Generalization
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis et al.
ERNet: Efficient Non-Rigid Registration Network for Point Sequences
Guangzhao He, Yuxi Xiao, Zhen Xu et al.
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
Jun Chen, Hong Chen, Bin Gu et al.
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
Robert Reed, Luca Laurenti, Morteza Lahijanian
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Rocco Caprio, Juan Kuntz, Samuel Power et al.
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
Zhangyue Yin, YuHong Sun, Xuanjing Huang et al.
Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis
Qianlong Wang, Keyang Ding, Hengxin Gao et al.
Error Detection for Multimodal Classification
Thomas Bonnier
Error Detection in Medical Note through Multi Agent Debate
Abdine Maiga, Anoop Shah, Emine Yilmaz
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu et al.
Error-driven Data-efficient Large Multimodal Model Tuning
Barry Menglong Yao, Qifan Wang, Lifu Huang
Error estimation and adaptive tuning for unregularized robust M-estimator
Pierre C. Bellec, Takuya Koriyama
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao et al.