Papers
Quality Control Attack Schemes in Crowdsourcing
Alessandro Checco, Jo Bates, Gianluca Demartini
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies
Stefan Borgwardt, Walter Forkel
A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs
Christer Bäckström, Peter Jonsson, Sebastian Ordyniak
Synthesizing Datalog Programs using Numerical Relaxation
Xujie Si, Mukund Raghothaman, Kihong Heo et al.
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset
Yusen Liu, Fangyuan He, Haodi Zhang et al.
EL Embeddings: Geometric Construction of Models for the Description Logic EL++
Maxat Kulmanov, Wang Liu-Wei, Yuan Yan et al.
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer
James R. Kirk, John E. Laird
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert
Learning Relational Representations with Auto-encoding Logic Programs
Sebastijan Dumancic, Tias Guns, Wannes Meert et al.
Playgol: Learning Programs Through Play
Andrew Cropper
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen et al.
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
Yuxi Zhou, Shenda Hong, Junyuan Shang et al.
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields
Yue Zhang, Arti Ramesh
A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data
Mingyang Zhang, Tong Li, Hongzhi Shi et al.
Balanced Ranking with Diversity Constraints
Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich
Automatic Grassland Degradation Estimation Using Deep Learning
Xiyu Yan, Yong Jiang, Shuai Chen et al.
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Xiao Wang, Siyue Wang, Pin-Yu Chen et al.
Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice et al.
Controllable Neural Story Plot Generation via Reward Shaping
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin et al.
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Samuel Sokota, Ryan D'Orazio, Khurram Javed et al.
Daytime Sleepiness Level Prediction Using Respiratory Information
Kazuhiko Shinoda, Masahiko Yoshii, Hayato Yamaguchi et al.
Three-quarter Sibling Regression for Denoising Observational Data
Shiv Shankar, Daniel Sheldon, Tao Sun et al.