Papers
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Exact Inference for Continuous-Time Gaussian Process Dynamics
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Jiyoung Kim, Kyuhong Shim, Insu Lee et al.
ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment
Yicheng Zhong, Huawei Wei, Peiji Yang et al.
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders
Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu et al.
Explainable Earnings Call Representation Learning (Student Abstract)
Yanlong Huang, Yue Lei, Wenxin Tai et al.
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.
Explaining Generalization Power of a DNN Using Interactive Concepts
Huilin Zhou, Hao Zhang, Huiqi Deng et al.
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes
Yotam Amitai, Yael Septon, Ofra Amir
Explicit Visual Prompts for Visual Object Tracking
Liangtao Shi, Bineng Zhong, Qihua Liang et al.
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint)
Vincent Liu, James R. Wright, Mrtha White
Exploiting Auxiliary Caption for Video Grounding
Hongxiang Li, Meng Cao, Xuxin Cheng et al.
Exploiting Data Geometry in Machine Learning
Melanie Weber
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
Yuguang Yan, Zeqin Yang, Weilin Chen et al.
Exploiting Label Skews in Federated Learning with Model Concatenation
Yiqun Diao, Qinbin Li, Bingsheng He
Exploiting Polarized Material Cues for Robust Car Detection
Wen Dong, Haiyang Mei, Ziqi Wei et al.
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang et al.
Exploiting the Social-Like Prior in Transformer for Visual Reasoning
Yudong Han, Yupeng Hu, Xuemeng Song et al.
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations
Zilin Wang, Haolin Zhuang, Lu Li et al.
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
Wenwen Zhang, Yun Hu, Hangguan Shan et al.