Papers
Counterfactual Fairness: Unidentification, Bound and Algorithm
Yongkai Wu, Lu Zhang, Xintao Wu
Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang et al.
Why Can’t You Do That HAL? Explaining Unsolvability of Planning Tasks
Sarath Sreedharan, Siddharth Srivastava, David Smith et al.
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks
Marco Maier, Daniel Elsner, Chadly Marouane et al.
Minimizing Time-to-Rank: A Learning and Recommendation Approach
Haoming Li, Sujoy Sikdar, Rohit Vaish et al.
Exploring Computational User Models for Agent Policy Summarization
Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez et al.
MiSC: Mixed Strategies Crowdsourcing
Ching Yun Ko, Rui Lin, Shu Li et al.
Decoding EEG by Visual-guided Deep Neural Networks
Zhicheng Jiao, Haoxuan You, Fan Yang et al.
Discrete Trust-aware Matrix Factorization for Fast Recommendation
Guibing Guo, Enneng Yang, Li Shen et al.
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation
Guibing Guo, Shichang Ouyang, Xiaodong He et al.
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks
Pengjie Gu, Rong Xiao, Gang Pan et al.
A Semantics-based Model for Predicting Children's Vocabulary
Ishaan Grover, Hae Won Park, Cynthia Breazeal
Deep Adversarial Social Recommendation
Wenqi Fan, Tyler Derr, Yao Ma et al.
Multi-agent Attentional Activity Recognition
Kaixuan Chen, Lina Yao, Dalin Zhang et al.
Balancing Explicability and Explanations in Human-Aware Planning
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
Andrew Anderson, Jonathan Dodge, Amrita Sadarangani et al.
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering
Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar et al.
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction
Xudong Zhang, Pengxiang Wu, Changhe Yuan et al.
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game
Peixi Peng, Junliang Xing, Lili Cao et al.
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
Chuan Luo, Holger H. Hoos, Shaowei Cai et al.
Branch-and-Cut-and-Price for Multi-Agent Pathfinding
Edward Lam, Pierre Le Bodic, Daniel D. Harabor et al.
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces
Akihiro Kishimoto, Adi Botea, Radu Marinescu
Graph Mining Meets Crowdsourcing: Extracting Experts for Answer Aggregation
Yasushi Kawase, Yuko Kuroki, Atsushi Miyauchi
DeltaDou: Expert-level Doudizhu AI through Self-play
Qiqi Jiang, Kuangzheng Li, Boyao Du et al.
Direction-Optimizing Breadth-First Search with External Memory Storage
Shuli Hu, Nathan R. Sturtevant