2020.6.22 AI papers

06-18-2020	Learning Invariant Representations for Reinforcement Learning without Reconstruction by Amy Zhang et al
06-16-2020	How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks by Kirill Bykov et al
06-17-2020	Overcoming Statistical Shortcuts for Open-ended Visual Counting by Corentin Dancette et al
06-17-2020	Head2Head++: Deep Facial Attributes Re-Targeting by Michail Christos Doukas et al
06-17-2020	A Practical Online Method for Distributionally Deep Robust Optimization by Qi Qi et al
06-17-2020	Fair k-Means Clustering by Mehrdad Ghadiri et al
06-16-2020	Semantic Curiosity for Active Visual Learning by Devendra Singh Chaplot et al
06-17-2020	Sequential Graph Convolutional Network for Active Learning by Razvan Caramalau et al
06-18-2020	Explainable and Discourse Topic-aware Neural Language Understanding by Yatin Chaudhary et al
06-16-2020	Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering by Zihao Zhu et al
06-18-2020	Forward Prediction for Physical Reasoning by Rohit Girdhar et al
06-17-2020	Semantic Visual Navigation by Watching YouTube Videos by Matthew Chang et al
06-17-2020	Stochastic Bandits with Linear Constraints by Aldo Pacchiano et al
06-16-2020	Gradient Amplification: An efficient way to train deep neural networks by Sunitha Basodi et al
06-18-2020	Compositional Generalization by Learning Analytical Expressions by Qian Liu et al
06-16-2020	CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization by Andre Esteva et al
06-16-2020	Global Feature Aggregation for Accident Anticipation by Mishal Fatima et al
06-17-2020	On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms by Adam Sutton et al
06-17-2020	Rethinking Semi-Supervised Learning in VAEs by Tom Joy et al
06-17-2020	Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders by Sam Snodgrass et al
06-17-2020	Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations by Éloi Brassard-Gourdeau et al
06-17-2020	A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction by Chang-Shing Lee et al
06-18-2020	Probabilistic Fair Clustering by Seyed A. Esmaeili et al
06-16-2020	Lio -- A Personal Robot Assistant for Human-Robot Interaction and Care Applications by Justinas Miseikis et al
06-17-2020	Towards Recurrent Autoregressive Flow Models by John Mern et al
06-18-2020	The Clever Hans Effect in Anomaly Detection by Jacob Kauffmann et al
06-17-2020	Conversational Neuro-Symbolic Commonsense Reasoning by Forough Arabshahi et al
06-16-2020	Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network by Tianwen Jiang et al
06-18-2020	Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features by Robin Tibor Schirrmeister et al
06-16-2020	Task-agnostic Exploration in Reinforcement Learning by Xuezhou Zhang et al
06-18-2020	Neural Topic Modeling with Continual Lifelong Learning by Pankaj Gupta et al
06-18-2020	Deep Reinforcement Learning amidst Lifelong Non-Stationarity by Annie Xie et al
06-16-2020	Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning by Bram Cals et al
06-18-2020	Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect by Priyank Agrawal et al
06-16-2020	Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks by Mohamed Sana et al
06-17-2020	Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections by Carl-Johan Hoel et al
06-17-2020	Faster Secure Data Mining via Distributed Homomorphic Encryption by Junyi Li et al
06-16-2020	Automatic Curriculum Learning through Value Disagreement by Yunzhi Zhang et al
06-19-2020	NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration by Shuai Han et al
06-17-2020	Delta Schema Network in Model-based Reinforcement Learning by Andrey Gorodetskiy et al
06-17-2020	Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control by Hua Zheng et al
06-16-2020	On the Hardness of Problems Involving Negator Relationships in an Artificial Hormone System by Eric Hutter et al
06-17-2020	Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations by Alexey Skrynnik et al
06-16-2020	Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs by Christopher Brix et al
06-18-2020	The Dilemma Between Dimensionality Reduction and Adversarial Robustness by Sheila Alemany et al
06-18-2020	IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis by Hossein Hajipour et al
06-17-2020	Logic, Probability and Action: A Situation Calculus Perspective by Vaishak Belle
06-19-2020	A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19 by David Oniani et al
06-19-2020	Wave Propagation of Visual Stimuli in Focus of Attention by Lapo Faggi et al
06-19-2020	An operator view of policy gradient methods by Dibya Ghosh et al
06-16-2020	Model Embedding Model-Based Reinforcement Learning by Xiaoyu Tan et al
06-19-2020	On Reward-Free Reinforcement Learning with Linear Function Approximation by Ruosong Wang et al
06-18-2020	Practical Large-Scale Distributed Parallel Monte-Carlo Tree Search Applied to Molecular Design by Xiufeng Yang et al
06-19-2020	Common equivalence and size after forgetting by Paolo Liberatore
06-17-2020	Artificial Musical Intelligence: A Survey by Elad Liebman et al
06-19-2020	Graph Pooling with Node Proximity for Hierarchical Representation Learning by Xing Gao et al
06-16-2020	Parameter-based Value Functions by Francesco Faccio et al
06-17-2020	Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework by Amber Srivastava et al
06-19-2020	Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targetted Data Augmentation by Nikka Mofid et al
06-18-2020	EHLO WORLD -- Checking If Your Conversational AI Knows Right from Wrong by Elayne Ruane et al
06-17-2020	Diverse Rule Sets by Guangyi Zhang et al
06-18-2020	The cyclic job-shop scheduling problem: The new subclass of the job-shop problem and applying the Simulated annealing to solve it by Pavel Matrenin et al
06-16-2020	Response by the Montreal AI Ethics Institute to the European Commissions Whitepaper on AI by Abhishek Gupta et al
06-16-2020	The Teaching Dimension of Q-learning by Xuezhou Zhang et al
06-17-2020	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments by Ali AhmadiTeshnizi et al
06-19-2020	Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks by Andreas Venzke et al
06-18-2020	Cooperative Multi-Agent Reinforcement Learning with Partial Observations by Yan Zhang et al
06-17-2020	Ranking and benchmarking framework for sampling algorithms on synthetic data streams by József Dániel Gáspár et al
06-18-2020	Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty by Junyang Jiang et al
06-18-2020	Semantic Linking Maps for Active Visual Object Search by Zhen Zeng et al
06-18-2020	Particle Swarm Optimization with Velocity Restriction and Evolutionary Parameters Selection for Scheduling Problem by Pavel Matrenin et al
06-18-2020	Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback by Yan Zhang et al
06-18-2020	Learn to Earn: Enabling Coordination within a Ride Hailing Fleet by Harshal A. Chaudhari et al
06-17-2020	DCAF: A Dynamic Computation Allocation Framework for Online Serving System by Biye Jiang et al
06-18-2020	An Integer Linear Programming Framework for Mining Constraints from Data by Tao Meng et al
06-16-2020	COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning by Eivind Meyer et al
06-18-2020	Recommendations for Emerging Air Taxi Network Operations based on Online Review Analysis of Helicopter Services by Suchithra Rajendran et al
06-19-2020	Contextual and Possibilistic Reasoning for Coalition Formation by Antonis Bikakis et al
06-19-2020	Representing Pure Nash Equilibria in Argumentation by Bruno Yun et al
06-16-2020	Aligning with Heterogeneous Preferences for Kidney Exchange by Rachel Freedman
06-16-2020	Quality Management of Machine Learning Systems by P. Santhanam