Papers
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Yihe Deng, Pan Lu, Fan Yin et al.
Enhancing LLM Reasoning via Vision-Augmented Prompting
Ziyang Xiao, Dongxiang Zhang, Xiongwei Han et al.
Enhancing LLM’s Cognition via Structurization
Kai Liu, Zhihang Fu, Chao Chen et al.
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
Penghui Ruan, Pichao Wang, Divya Saxena et al.
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang et al.
Enhancing Preference-based Linear Bandits via Human Response Time
Shen Li, Yuyang Zhang, Zhaolin Ren et al.
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
Ruihan Guo, Rui Wang, Ruidong Wu et al.
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi et al.
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
Rory Young, Nicolas Pugeault
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
Yuefei Lyu, Chaozhuo Li, Sihong Xie et al.
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo et al.
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao, Jiangrui Kang, Qiyuan Chen et al.
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
Yuli Wang, Jian Peng, Yuwei Dai et al.
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
Xingyu Zhu, Beier Zhu, Yi Tan et al.
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
Yufei Guo, Weihang Peng, Xiaode Liu et al.
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Yivan Zhang, Masashi Sugiyama
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
Yichong Huang, Xiaocheng Feng, Baohang Li et al.
Ensemble sampling for linear bandits: small ensembles suffice
David Janz, Alexander E. Litvak, Csaba Szepesvári
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Shangquan Sun, Wenqi Ren, Zikun Liu et al.
Entity Alignment with Noisy Annotations from Large Language Models
Shengyuan Chen, Qinggang Zhang, Junnan Dong et al.
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
Ruoqi Zhang, Ziwei Luo, Jens Sjölund et al.
Entropy testing and its application to testing Bayesian networks
Clément L. Canonne, Joy Qiping Yang
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes
Mason Hargrave, Alex Spaeth, Logan Grosenick
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
Jinhee Kim, Taesung Kim, Jaegul Choo