03.03.19 AI papers

02-26-2019	The Termination Critic by Anna Harutyunyan et al
02-27-2019	Learning Factored Markov Decision Processes with Unawareness by Craig Innes et al
02-27-2019	Architecting Dependable Learning-enabled Autonomous Systems: A Survey by Chih-Hong Cheng et al
02-26-2019	Attention is not Explanation by Sarthak Jain et al
02-26-2019	Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies by Tom Zahavy et al
02-27-2019	EL Embeddings: Geometric construction of models for the Description Logic EL ++ by Maxat Kulmanov et al
03-01-2019	Learning To Follow Directions in Street View by Karl Moritz Hermann et al
02-26-2019	Intelligent Autonomous Things on the Battlefield by Alexander Kott et al
02-27-2019	Unifying Ensemble Methods for Q-learning via Social Choice Theory by Rishav Chourasia et al
02-27-2019	Provable Guarantees for Gradient-Based Meta-Learning by Mikhail Khodak et al
02-26-2019	Neural Packet Classification by Eric Liang et al
02-27-2019	Learning Logistic Circuits by Yitao Liang et al
02-26-2019	Information Gathering in Decentralized POMDPs by Policy Graph Improvement by Mikko Lauri et al
02-28-2019	SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation by Yizhe Zhang et al
02-26-2019	Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU by Georgi Tinchev et al
02-26-2019	Implicit Kernel Learning by Chun-Liang Li et al
02-26-2019	Reliable Deep Grade Prediction with Uncertainty Estimation by Qian Hu et al
02-28-2019	AFS: An Attention-based mechanism for Supervised Feature Selection by Ning Gui et al
02-27-2019	Learning Task Knowledge and its Scope of Applicability in Experience-Based Planning Domains by Vahid Mokhtari et al
02-27-2019	On Constrained Open-World Probabilistic Databases by Tal Friedman et al
03-01-2019	A Behavioral Approach to Visual Navigation with Graph Localization Networks by Kevin Chen et al
02-26-2019	Design of intentional backdoors in sequential models by Zhaoyuan Yang et al
02-26-2019	Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings by Tom Everitt et al
02-27-2019	Technical report of Empirical Study on Human Evaluation of Complex Argumentation Frameworks by Marcos Cramer et al
02-27-2019	Private Center Points and Learning of Halfspaces by Amos Beimel et al
02-28-2019	To Monitor or to Trust: Observing Robots Behavior based on a Game-Theoretic Model of Trust by Sailik Sengupta et al
02-26-2019	Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? by Céline Hocquette et al
02-26-2019	Fully Distributed Bayesian Optimization with Stochastic Policies by Javier Garcia-Barcos et al
02-26-2019	Coloring Big Graphs with AlphaGoZero by Jiayi Huang et al
03-01-2019	Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group by Anna Dai et al
02-27-2019	Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions by Omid Rohanian et al
02-27-2019	Real-time tree search with pessimistic scenarios by Takayuki Osogami et al
02-26-2019	Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis by Mohammad Ali Javidian et al
02-28-2019	Jointly Optimizing Diversity and Relevance in Neural Response Generation by Xiang Gao et al
02-28-2019	An alternative approach to coherent choice functions by Jasper De Bock et al
02-26-2019	A Multi-Domain Feature Learning Method for Visual Place Recognition by Peng Yin et al
03-01-2019	Should All Temporal Difference Learning Use Emphasis? by Xiang Gu et al
02-26-2019	A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems by Rishabh Iyer et al
02-26-2019	Unmasking Clever Hans Predictors and Assessing What Machines Really Learn by Sebastian Lapuschkin et al
02-26-2019	Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives by Christian Gumbsch et al