Papers
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.
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection
Rundong He, Yue Yuan, Zhongyi Han et al.
Exploring Diverse Representations for Open Set Recognition
Yu Wang, Junxian Mu, Pengfei Zhu et al.
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
Sen Pei, Shixiong Xu, Xiaojie Jin
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models
Dingzirui Wang, Longxu Dou, Wenbin Zhang et al.
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
Wanying Wang, Yichen Zhu, Yirui Zhou et al.
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Likang Wu, Zhaopeng Qiu, Zhi Zheng et al.
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
Mingzhao Yang, Shangchao Su, Bin Li et al.
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Zhewei Yao, Xiaoxia Wu, Cheng Li et al.