Papers
Explainable Planner Selection for Classical Planning
Patrick Ferber, Jendrik Seipp
Explainable Shapley-Based Allocation (Student Abstract)
Meir Nizri, Noam Hazon, Amos Azaria
Explainable Survival Analysis with Convolution-Involved Vision Transformer
Yifan Shen, Li Liu, Zhihao Tang et al.
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Siddhant Arora, Danish Pruthi, Norman Sadeh et al.
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning
Qiqi Gu, Shen Chen, Taiping Yao et al.
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney et al.
Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding
Jiaming Chen, Weixin Luo, Wei Zhang et al.
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
Yi Liang, Shuai Zhao, Bo Cheng et al.
Exploring Motion and Appearance Information for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Pan Zhou et al.
Exploring Relational Semantics for Inductive Knowledge Graph Completion
Changjian Wang, Xiaofei Zhou, Shirui Pan et al.
Exploring Safer Behaviors for Deep Reinforcement Learning
Enrico Marchesini, Davide Corsi, Alessandro Farinelli
Exploring Visual Context for Weakly Supervised Person Search
Yichao Yan, Jinpeng Li, Shengcai Liao et al.
Expressivity of Planning with Horn Description Logic Ontologies
Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova et al.
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents
Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula
Facilitating Human-Wildlife Cohabitation through Conflict Prediction
Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande et al.
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns
Yitong Duan, Lei Wang, Qizhong Zhang et al.
Fair and Efficient Allocations of Chores under Bivalued Preferences
Jugal Garg, Aniket Murhekar, John Qin
Fair and Truthful Giveaway Lotteries
Tal Arbiv, Yonatan Aumann
Fair Conformal Predictors for Applications in Medical Imaging
Charles Lu, Andréanne Lemay, Ken Chang et al.
FairFoody: Bringing In Fairness in Food Delivery
Anjali Gupta, Rahul Yadav, Ashish Nair et al.
Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
Yiqun Xie, Erhu He, Xiaowei Jia et al.
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
Haewon Jeong, Hao Wang, Flavio P. Calmon
Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning
Huanqin Wu, Baijiaxin Ma, Wei Liu et al.