2020.7.6 AI papers

06-30-2020	Similarity Search for Efficient Active Learning and Search of Rare Concepts by Cody Coleman et al
06-30-2020	Model-based Reinforcement Learning: A Survey by Thomas M. Moerland et al
07-01-2020	Drug discovery with explainable artificial intelligence by José Jiménez-Luna et al
07-02-2020	Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification by Chetanya Rastogi et al
07-01-2020	Adversarial Example Games by Avishek Joey Bose et al
07-02-2020	The Impact of Explanations on AI Competency Prediction in VQA by Kamran Alipour et al
07-02-2020	PerceptionGAN: Real-world Image Construction from Provided Text through Perceptual Understanding by Kanish Garg et al
07-01-2020	Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search by Linnan Wang et al
07-01-2020	Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey by Samuel Henrique Silva et al
07-01-2020	Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge by Pat Verga et al
06-30-2020	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving by Zhangjie Cao et al
07-01-2020	Policy Improvement from Multiple Experts by Ching-An Cheng et al
07-01-2020	Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation by Wanrong Zhu et al
07-01-2020	A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study by Yusuf Sermet et al
06-30-2020	OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings by Sunipa Dev et al
07-02-2020	Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy by Nuria Rodríguez-Barroso et al
07-01-2020	COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation by Qingyun Wang et al
06-30-2020	A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization by Benjamin Doerr et al
07-02-2020	Verifiably Safe Exploration for End-to-End Reinforcement Learning by Nathan Hunt et al
07-03-2020	Visual Question Answering as a Multi-Task Problem by Amelia Elizabeth Pollard et al
07-03-2020	A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review by Adam Bignold et al
06-30-2020	Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering by Xinyan Zhao et al
07-02-2020	Higher-order Logic as Lingua Franca -- Integrating Argumentative Discourse and Deep Logical Analysis by David Fuenmayor et al
06-30-2020	Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification by Hongyuan Mei et al
07-02-2020	Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints by C. P. Andriotis et al
07-01-2020	Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes by Timothée Lesort
07-03-2020	Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks by Yuqian Jiang et al
07-01-2020	Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering by Ben Bogin et al
07-01-2020	SemEval-2020 Task 4: Commonsense Validation and Explanation by Cunxiang Wang et al
07-03-2020	Expected Eligibility Traces by Hado van Hasselt et al
07-01-2020	Reasoning with Contextual Knowledge and Influence Diagrams by Erman Acar et al
07-03-2020	PsychFM: Predicting your next gamble by Prakash Rajan et al
07-01-2020	Quantifying causal contribution via structure preserving interventions by Dominik Janzing et al
07-02-2020	Human-centered collaborative robots with deep reinforcement learning by Ali Ghadirzadeh et al
06-30-2020	Ontology-guided Semantic Composition for Zero-Shot Learning by Jiaoyan Chen et al
07-01-2020	Signature-Based Abduction for Expressive Description Logics -- Technical Report by Patrick Koopmann et al
07-03-2020	An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques by Joris Mollinga et al
06-30-2020	On the Applicability of ML Fairness Notions by Karima Makhlouf et al
06-30-2020	R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games by Zhongxiang Dai et al
07-01-2020	Designing Environments Conducive to Interpretable Robot Behavior by Anagha Kulkarni et al
07-01-2020	Unifying Model Explainability and Robustness via Machine-Checkable Concepts by Vedant Nanda et al
07-01-2020	From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation by Songyang Zhang et al
07-03-2020	Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games by Jeppe Theiss Kristensen et al
07-01-2020	Convex Regularization in Monte-Carlo Tree Search by Tuan Dam et al
07-03-2020	On Symbolically Encoding the Behavior of Random Forests by Arthur Choi et al
07-02-2020	Multi-agent Planning for thermalling gliders using multi level graph-search by Muhammad Aneeq uz Zaman et al
07-03-2020	Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps by Martin Stetter et al
07-02-2020	Am I Building a White Box Agent or Interpreting a Black Box Agent? by Tom Bewley
06-30-2020	Verification of indefinite-horizon POMDPs by Alexander Bork et al
06-30-2020	On Finite Entailment of Non-Local Queries in Description Logics by Tomasz Gogacz et al
06-30-2020	Situation Calculus by Term Rewriting by David A. Plaisted
06-30-2020	Testing match-3 video games with Deep Reinforcement Learning by Nicholas Napolitano
07-01-2020	Medical idioms for clinical Bayesian network development by Evangelia Kyrimi et al
07-01-2020	Gradient Temporal-Difference Learning with Regularized Corrections by Sina Ghiassian et al
07-01-2020	Allocation of Multi-Robot Tasks with Task Variants by Zakk Giacometti et al
07-03-2020	Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study by Halcyon D. P. Carvalho et al
06-30-2020	Mobile Link Prediction: Automated Creation and Crowd-sourced Validation of Knowledge Graphs by Mark Christopher Ballandies et al
07-02-2020	Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems by Mayalen Etcheverry et al
07-01-2020	A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing by Richa Verma et al
06-30-2020	A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs by Wonjun Ko et al
06-30-2020	Learning Post-Hoc Causal Explanations for Recommendation by Shuyuan Xu et al
06-30-2020	Autosploit: A Fully Automated Framework for Evaluating the Exploitability of Security Vulnerabilities by Noam Moscovich et al
07-03-2020	Logical Separability of Incomplete Data under Ontologies by Jean Christoph Jung et al
07-01-2020	PrototypeML: A Neural Network Integrated Design and Development Environment by Daniel Reiss Harris
06-30-2020	Binary intersection formalized by Štěpán Holub et al
06-30-2020	Enforcing Almost-Sure Reachability in POMDPs by Sebastian Junges et al
06-30-2020	Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments by Ransalu Senanayake et al
06-30-2020	Bounded Rationality in Las Vegas: Probabilistic Finite Automata PlayMulti-Armed Bandits by Xinming Liu et al
07-02-2020	Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects by Dimitrios I. Koutras et al