2019.09.22 AI papers

09-18-2019	A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities by Deepali Aneja et al
09-17-2019	Ludwig: a type-based declarative deep learning toolbox by Piero Molino et al
09-19-2019	Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle by Shipra Sharma et al
09-18-2019	Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach by Kuruparan Shanmugalingam et al
09-19-2019	Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment by Jaap Jumelet et al
09-19-2019	Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder by Li Du et al
09-18-2019	Do We Need Neural Models to Explain Human Judgments of Acceptability? by Wang Jing et al
09-19-2019	Look, Read and Enrich. Learning from Scientific Figures and their Captions by Jose Manuel Gomez-Perez et al
09-19-2019	How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? by W. Cannon Lewis et al
09-19-2019	A Split-and-Recombine Approach for Follow-up Query Analysis by Qian Liu et al
09-19-2019	Human-In-The-Loop Learning of Qualitative Preference Models by Joseph Allen et al
09-18-2019	Segregation Dynamics with Reinforcement Learning and Agent Based Modeling by Egemen Sert et al
09-19-2019	Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control by Peixin Chang et al
09-17-2019	Inverse Visual Question Answering with Multi-Level Attentions by Yaser Alwatter et al
09-17-2019	The Explanation Game: Explaining Machine Learning Models with Cooperative Game Theory by Luke Merrick et al
09-18-2019	A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning by Juan Cruz Barsce et al
09-19-2019	Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation by David Watkins-Valls et al
09-18-2019	Using Quantifier Elimination to Enhance the Safety Assurance of Deep Neural Networks by Hao Ren et al
09-18-2019	Conversational AI : Open Domain Question Answering and Commonsense Reasoning by Kinjal Basu
09-18-2019	Voting with Random Classifiers (VORACE) by Cristina Cornelio et al
09-18-2019	Agent Prioritization for Autonomous Navigation by Khaled S. Refaat et al
09-18-2019	On the Strong Equivalences of LPMLN Programs by Bin Wang et al
09-17-2019	Multimodal Continuation-style Architectures for Human-Robot Interaction by Nikhil Krishnaswamy et al
09-18-2019	Distributed Answer Set Coloring: Stable Models Computation via Graph Coloring by Marco De Bortoli
09-17-2019	!MDP Playground: Meta-Features in Reinforcement Learning by Raghu Rajan et al
09-18-2019	Induction of Non-monotonic Logic Programs To Explain Statistical Learning Models by Farhad Shakerin
09-19-2019	Revisit Policy Optimization in Matrix Form by Sitao Luan et al
09-18-2019	Causal Modeling for Fairness in Dynamical Systems by Elliot Creager et al
09-18-2019	Natural Language Generation for Non-Expert Users by Van Duc Nguyen et al
09-18-2019	Towards Ethical Machines Via Logic Programming by Abeer Dyoub et al
09-19-2019	Towards Neural Language Evaluators by Hassan Kané et al
09-18-2019	Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant by Deepak Muralidharan et al
09-18-2019	A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation by Felicidad Aguado et al
09-18-2019	Strong Equivalence for LPMLN Programs by Joohyung Lee et al
09-17-2019	Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space by Hung Nghiep Tran et al
09-18-2019	Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games by Macheng Shen et al
09-17-2019	Course Concept Expansion in MOOCs with External Knowledge and Interactive Game by Jifan Yu et al
09-18-2019	Reasoning in Highly Reactive Environments by Francesco Pacenza
09-18-2019	A Temporal Module for Logical Frameworks by Valentina Pitoni et al
09-18-2019	RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems by Jan Toenshoff et al
09-17-2019	Learning to Manipulate Object Collections Using Grounded State Representations by Matthew Wilson et al
09-18-2019	A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming by Daoming Lyu et al
09-19-2019	Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation by Yi-An Lai et al
09-18-2019	Multi-Robot Deep Reinforcement Learning with Macro-Actions by Yuchen Xiao et al
09-18-2019	A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization by Yi Chen et al
09-18-2019	Design of a Solver for Multi-Agent Epistemic Planning by Francesco Fabiano
09-18-2019	An ASP-based Approach for Attractor Enumeration in Synchronous and Asynchronous Boolean Networks by Tarek Khaled et al
09-18-2019	Reasoning about Qualitative Direction and Distance between Extended Objects using Answer Set Programming by Yusuf Izmirlioglu
09-18-2019	Mutex Graphs and Multicliques: Reducing Grounding Size for Planning by David Spies et al
09-18-2019	Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP by Richard Taupe et al
09-17-2019	Generative Dialog Policy for Task-oriented Dialog Systems by Tian Lan et al
09-20-2019	AIBA: An AI Model for Behavior Arbitration in Autonomous Driving by Bogdan Trasnea et al
09-17-2019	Proceedings 35th International Conference on Logic Programming (Technical Communications) by Bart Bogaerts et al
09-17-2019	Efficient Transfer Bayesian Optimization with Auxiliary Information by Tomoharu Iwata et al
09-18-2019	Value of Information in Probabilistic Logic Programs by Sarthak Ghosh et al
09-18-2019	Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions by Craig Olson et al
09-18-2019	Knowledge representation and diagnostic inference using Bayesian networks in the medical discourse by Sebastian Flügge et al
09-19-2019	Highlighting Bias with Explainable Neural-Symbolic Visual Reasoning by Adrien Bennetot et al
09-18-2019	Encoding Selection for Solving Hamiltonian Cycle Problems with ASP by Liu Liu et al
09-18-2019	An Automated Engineering Assistant: Learning Parsers for Technical Drawings by Dries Van Daele et al
09-19-2019	Learning Optimal and Near-Optimal Lexicographic Preference Lists by Ahmed Moussa et al
09-20-2019	Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems by Xinghua Zheng et al
09-18-2019	Quantified Constraint Handling Rules by Vincent Barichard et al
09-18-2019	Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem by Giacomo Da Col et al
09-18-2019	Bayesian Optimisation with Gaussian Processes for Premise Selection by Agnieszka Słowik et al
09-18-2019	A literature review on current approaches and applications of fuzzy expert systems by Mina Rajabi et al
09-19-2019	Experimenting with Constraint Programming on GPU by Fabio Tardivo
09-19-2019	Synth\`ese non quadratique H∞∞ de contr\^oleurs d\ecentralis\es pour un ensemble de descripteurs flous T-S interconnect\es by Dalel Jabri et al
09-20-2019	Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message-Passing by Zhe Zeng et al
09-18-2019	Memory Management in Resource-Bounded Agents by Valentina Pitoni
09-19-2019	Intelligent Policing Strategy for Traffic Violation Prevention by Monireh Dabaghchian et al
09-17-2019	Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN by Hongtu Zhou et al
09-17-2019	Vehicle routing by learning from historical solutions by Rocsildes Canoy et al