2020.3.23 AI papers

03-18-2020	From Statistical Relational to Neuro-Symbolic Artificial Intelligence by Luc De Raedt et al
03-19-2020	Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding by Thierry Deruyttere et al
03-17-2020	Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond by Wojciech Samek et al
03-19-2020	Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks by Ali Balali et al
03-19-2020	XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning by Sung Whan Yoon et al
03-17-2020	Construe: a software solution for the explanation-based interpretation of time series by Tomas Teijeiro et al
03-19-2020	Exchangeable Input Representations for Reinforcement Learning by John Mern et al
03-18-2020	Adjust Planning Strategies to Accommodate Reinforcement Learning Agents by Xuerun Chen
03-20-2020	Visual Navigation Among Humans with Optimal Control as a Supervisor by Varun Tolani et al
03-19-2020	VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation by Ryan Hoque et al
03-19-2020	Layerwise Knowledge Extraction from Deep Convolutional Networks by Simon Odense et al
03-18-2020	Placement Optimization with Deep Reinforcement Learning by Anna Goldie et al
03-19-2020	Learning to Fly via Deep Model-Based Reinforcement Learning by Philip Becker-Ehmck et al
03-20-2020	Deep Reinforcement Learning with Weighted Q-Learning by Andrea Cini et al
03-20-2020	Parallel Intent and Slot Prediction using MLB Fusion by Anmol Bhasin et al
03-18-2020	Sequential Forecasting of 100,000 Points by Xinshuo Weng et al
03-18-2020	Distributed and Democratized Learning: Philosophy and Research Challenges by Minh N. H. Nguyen et al
03-17-2020	A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance by Marc Brittain et al
03-19-2020	Generating new concepts with hybrid neuro-symbolic models by Reuben Feinman et al
03-18-2020	Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted ℓ1ℓ1-ℓ1ℓ1 Minimization: Architecture Design and Generalization Analysis by Huynh Van Luong et al
03-17-2020	Enhancing the Monte Carlo Tree Search Algorithm for Video Game Testing by Sinan Ariyurek et al
03-17-2020	Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study by Farahnaz Akrami et al
03-19-2020	Decentralized MCTS via Learned Teammate Models by Aleksander Czechowski et al
03-17-2020	Redistribution Systems and PRAM by Paul Cohen et al
03-20-2020	Tactic Learning and Proving for the Coq Proof Assistant by Lasse Blaauwbroek et al
03-17-2020	Directions for Explainable Knowledge-Enabled Systems by Shruthi Chari et al
03-20-2020	Exploring Inherent Properties of the Monophonic Melody of Songs by Zehao Wang et al
03-17-2020	Foundations of Explainable Knowledge-Enabled Systems by Shruthi Chari et al
03-20-2020	Ordered Functional Decision Diagrams by Joan Thibault et al
03-19-2020	Train Scheduling with Hybrid Answer Set Programming by Dirk Abels et al
03-18-2020	Vulnerabilities of Connectionist AI Applications: Evaluation and Defence by Christian Berghoff et al
03-18-2020	Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method by Yuan Gong et al
03-17-2020	CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy by Xin Huang et al
03-17-2020	Cross Lingual Cross Corpus Speech Emotion Recognition by Shivali Goel et al
03-17-2020	When is Ontology-Mediated Querying Efficient? by Pablo Barcelo et al
03-17-2020	Modeling and solving a vehicle-sharing problem by Miriam Enzi et al
03-17-2020	Learning to Optimize Autonomy in Competence-Aware Systems by Connor Basich et al