Papers
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.
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation
Alexander Long, Alan Blair, Herke van Hoof
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
Junghyun Lee, Gwangsu Kim, Mahbod Olfat et al.
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada et al.
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
Sokbae Lee, Yuan Liao, Myung Hwan Seo et al.
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Faster Algorithms for Weak Backdoors
Serge Gaspers, Andrew Kaploun
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang, Yunze Man, Zhao Song et al.
Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles
Anand D. Blum, R. Mitchell Parry
Fast Monte-Carlo Approximation of the Attention Mechanism
Hyunjun Kim, JeongGil Ko