2019.07.21 AI papers

07-16-2019	Compositional Deep Learning by Bruno Gavranović
07-18-2019	ELG: An Event Logic Graph by Xiao Ding et al
07-18-2019	Querying Knowledge via Multi-Hop English Questions by Tiantian Gao et al
07-19-2019	Automated Machine Learning in Practice: State of the Art and Recent Results by Lukas Tuggener et al
07-16-2019	Fairness-enhancing interventions in stream classification by Vasileios Iosifidis et al
07-18-2019	Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery by Kristian Hartikainen et al
07-18-2019	Credit Assignment as a Proxy for Transfer in Reinforcement Learning by Johan Ferret et al
07-16-2019	FAHT: An Adaptive Fairness-aware Decision Tree Classifier by Wenbin Zhang et al
07-17-2019	A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI by Erico Tjoa et al
07-19-2019	DaiMoN: A Decentralized Artificial Intelligence Model Network by Surat Teerapittayanon et al
07-16-2019	Decentralized & Collaborative AI on Blockchain by Justin D. Harris et al
07-16-2019	Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving by Tianqi Wang et al
07-16-2019	Evaluating Explanation Without Ground Truth in Interpretable Machine Learning by Fan Yang et al
07-17-2019	Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use by Janarthanan Rajendran et al
07-18-2019	SentiMATE: Learning to play Chess through Natural Language Processing by Isaac Kamlish et al
07-16-2019	An Inductive Synthesis Framework for Verifiable Reinforcement Learning by He Zhu et al
07-18-2019	Transfer Learning Across Simulated Robots With Different Sensors by Hélène Plisnier et al
07-16-2019	Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications by Rafael Brandão et al
07-17-2019	Canada Protocol: an ethical checklist for the use of Artificial Intelligence in Suicide Prevention and Mental Health by Carl-Maria Mörch et al
07-17-2019	Block based Singular Value Decomposition approach to matrix factorization for recommender systems by Prasad Bhavana et al
07-16-2019	Adaptive Prior Selection for Repertoire-based Online Learning in Robotics by Rituraj Kaushik et al
07-17-2019	Learning Variable Impedance Control for Contact Sensitive Tasks by Miroslav Bogdanovic et al
07-19-2019	Interactive Learning of Environment Dynamics for Sequential Tasks by Robert Loftin et al
07-18-2019	An AI-based, Multi-stage detection system of banking botnets by Li Ling et al
07-18-2019	Learning High-Level Planning Symbols from Intrinsically Motivated Experience by Angelo Oddi et al
07-17-2019	CLaRO: a Data-driven CNL for Specifying Competency Questions by C. Maria Keet et al
07-19-2019	Enhancing magic sets with an application to ontological reasoning by Mario Alviano et al
07-19-2019	CraftAssist: A Framework for Dialogue-enabled Interactive Agents by Jonathan Gray et al
07-18-2019	Representation Learning for Classical Planning from Partially Observed Traces by Zhanhao Xiao et al
07-19-2019	Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation by Jingyuan Wang et al
07-16-2019	Unforeseen Evidence by Evan Piermont
07-18-2019	DeepProbLog: Neural Probabilistic Logic Programming by Robin Manhaeve et al