Papers
End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media
Bichen Wang, Yuzhe Zi, Yixin Sun et al.
End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
Denis Blessing, Xiaogang Jia, Gerhard Neumann
End-to-End Multilingual Automatic Dubbing via Duration-based Translation with Large Language Models
Hyun-Sik Won, DongJin Jeong, Hyunkyu Choi et al.
End-to-End Multi-Modal Diffusion Mamba
Chunhao Lu, Qiang Lu, Meichen Dong et al.
End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation
Zhiyuan Fan, Longfei Yun, Ming Yan et al.
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
Yi Yu, Weizhen Han, Libing Wu et al.
E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes
Yan Liu, Zehao Chen, Haojie Yan et al.
E(n) Equivariant Topological Neural Networks
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec et al.
EnerGIZAr: Leveraging GIZA++ for Effective Tokenizer Initialization
Pranaydeep Singh, Eneko Agirre, Gorka Azkune et al.
Energy-based Backdoor Defense Against Federated Graph Learning
Guancheng Wan, Zitong Shi, Wenke Huang et al.
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu, Tomas Geffner, Karsten Kreis et al.
EnergyCompress: A General Case Base Learning Strategy
Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot et al.
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari et al.
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models
Rui Jiang, Xinghe Fu, Guangcong Zheng et al.
EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space
Jianrong Zhang, Hehe Fan, Yi Yang
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World
Chenyu Mu, Jiahua Li, Kun Wei et al.
Energy-Weighted Flow Matching for Offline Reinforcement Learning
Shiyuan Zhang, Weitong Zhang, Quanquan Gu
Engage for All: Making Ordinary Image Descriptions Appealing Again!
Yuyan Chen, Yifan Jiang, Li Zhou et al.
Engagement-driven Persona Prompting for Rewriting News Tweets
Reshmi Gopalakrishna Pillai, Antske Fokkens, Wouter van Atteveldt
ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts
Cheng Zhang, Rajasekhar Kakarla, Kangda Wei et al.
ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts
Cheng Zhang, Rajasekhar Kakarla, Kangda Wei et al.
ENGinius: A Bilingual LLM Optimized for Plant Construction Engineering
Wooseong Lee, Minseo Kim, Taeil Hur et al.
English as Defense Proxy: Mitigating Multilingual Jailbreak via Eliciting English Safety Knowledge
Zekai Zhang, Yiduo Guo, Jiuheng Lin et al.
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles
Sam Passmore, Lila San Roque, Kirsty Gillespie et al.
Enhance Contextual Learning in ASR for Endangered Low-resource Languages
Zhaolin Li, Jan Niehues