Papers
Enhancing Vision Language Corruption Robustness using Cross-Distribution & Prompted Denoisers
Sameer Shafayet Latif, Sadab Shiper, K. M. Rahiduzzaman Kiran et al.
Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction
Ce Zhang, Yale Song, Ruta Desai et al.
ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing
Hao Fu, Zebing Yao, Chuangchuang Tan et al.
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
Haowei Fu, Bo Ni, Han Xu et al.
Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
Rrubaa Panchendrarajan, Arkaitz Zubiaga
entity-linkings: A Unified Library for Entity Linking
Yuya Sawada, Tsuyoshi Fujita, Yusuke Sakai et al.
Entropy-Gated Branching for Efficient Test-Time Reasoning
Xianzhi Li, Ethan Callanan, Abdellah Ghassel et al.
Enumerating Minimal Unsatisfiable Cores of LTLf Formulae
Antonio Ielo, Giuseppe Mazzotta, Rafael Peñaloza et al.
EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
Yonghao Dong, Qiang He, Penghong Rui et al.
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
Fei Liu, Yilu Liu, Qingfu Zhang et al.
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
Piotr Borycki, Magdalena Trędowicz, Szymon Janusz et al.
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
Yuancheng Sun, Yuxuan Ren, Zhaoming Chen et al.
EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance
Jiahui Wang, Haiyue Zhu, Haoren Guo et al.
EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models via Equation Solving and Code Completion
Zhen Liang, Hai Huang, Zhengkui Chen
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
Yuanzhe Peng, Wenwei Zhao, Zhuo Lu et al.
Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization
Ziduo Yang, Yi-Ming Zhao, Xian Wang et al.
Equivariant Sampling for Improving Diffusion Model-based Image Restoration
Chenxu Wu, Qingpeng Kong, Peiang Zhao et al.
ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
Yuzheng Cai, Yanzhao Zhang, Dingkun Long et al.
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
Jinge Wu, Zhaolong Wu, Ruizhe Li et al.
Error Slice Discovery via Manifold Compactness
Han Yu, Hao Zou, Jiashuo Liu et al.
ESCA: An Emotional Support Conversation Agent for Enhancing Reasonable Strategy Planning and Effective Expression
Jing Li, Yanxin Luo, Donghong Han et al.
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
Jinping Wang, Zhiqiang Gao, Zhang Dinggen et al.
Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation
Luyao Chang, Leiting Chen, Chen Yang et al.
Escaping the Probability Trap: Mitigating Semantic Drift in Cantonese-Mandarin Translation
Yuzhi Liang, Fangqi Chen