2020.6.29 AI papers

06-24-2020	Compositional Explanations of Neurons by Jesse Mu et al
06-24-2020	Quantifying Differences in Reward Functions by Adam Gleave et al
06-24-2020	Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers by Benjamin Eysenbach et al
06-23-2020	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning by Roberta Raileanu et al
06-23-2020	Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework by Mehdi Ali et al
06-24-2020	The NetHack Learning Environment by Heinrich Küttler et al
06-25-2020	Does Adversarial Transferability Indicate Knowledge Transferability? by Kaizhao Liang et al
06-24-2020	Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings by David Chang et al
06-23-2020	Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors by Karl Pertsch et al
06-24-2020	Hierarchically Local Tasks and Deep Convolutional Networks by Arturo Deza et al
06-23-2020	Experience Replay with Likelihood-free Importance Weights by Samarth Sinha et al
06-23-2020	Neural Non-Rigid Tracking by Aljaž Božič et al
06-24-2020	Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences by Erdem Bıyık et al
06-25-2020	A Closer Look at Invalid Action Masking in Policy Gradient Algorithms by Shengyi Huang et al
06-23-2020	Robot Object Retrieval with Contextual Natural Language Queries by Thao Nguyen et al
06-24-2020	Generative causal explanations of black-box classifiers by Matthew O'Shaughnessy et al
06-23-2020	A Note on Over-Smoothing for Graph Neural Networks by Chen Cai et al
06-24-2020	Privacy at Facebook Scale by Paulo Tanaka et al
06-23-2020	Feature Expansive Reward Learning: Rethinking Human Input by Andreea Bobu et al
06-25-2020	Learning Task-General Representations with Generative Neuro-Symbolic Modeling by Reuben Feinman et al
06-23-2020	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search by Rameswar Panda et al
06-24-2020	Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL by Lucas Zimmer et al
06-24-2020	Competitive Balance in Team Sports Games by Sofia M Nikolakaki et al
06-24-2020	Turbocharging Treewidth-Bounded Bayesian Network Structure Learning by Vaidyanathan P. R. et al
06-25-2020	Supermasks in Superposition by Mitchell Wortsman et al
06-23-2020	Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping by Dongruo Zhou et al
06-23-2020	On the Relationship Between Active Inference and Control as Inference by Beren Millidge et al
06-24-2020	A Methodology for Creating AI FactSheets by John Richards et al
06-23-2020	Logical Neural Networks by Ryan Riegel et al
06-24-2020	Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning by Hassam Ullah Sheikh et al
06-23-2020	Rethinking Distributional Matching Based Domain Adaptation by Bo Li et al
06-25-2020	SOAC: The Soft Option Actor-Critic Architecture by Chenghao Li et al
06-23-2020	Deep Generative Model-based Quality Control for Cardiac MRI Segmentation by Shuo Wang et al
06-23-2020	ELSIM: End-to-end learning of reusable skills through intrinsic motivation by Arthur Aubret et al
06-23-2020	Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron by Zhenyu Shou et al
06-23-2020	Safe Learning under Uncertain Objectives and Constraints by Mohammad Fereydounian et al
06-23-2020	RayS: A Ray Searching Method for Hard-label Adversarial Attack by Jinghui Chen et al
06-26-2020	What they do when in doubt: a study of inductive biases in seq2seq learners by Eugene Kharitonov et al
06-23-2020	Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation by Aaron Sonabend W et al
06-24-2020	DeepAbstract: Neural Network Abstraction for Accelerating Verification by Pranav Ashok et al
06-26-2020	A Framework for Reinforcement Learning and Planning by Thomas M. Moerland et al
06-24-2020	Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario by Francisco Cruz et al
06-26-2020	What can I do here? A Theory of Affordances in Reinforcement Learning by Khimya Khetarpal et al
06-26-2020	Intrinsic Reward Driven Imitation Learning via Generative Model by Xingrui Yu et al
06-24-2020	Graph Policy Network for Transferable Active Learning on Graphs by Shengding Hu et al
06-25-2020	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance by Gagan Bansal et al
06-23-2020	Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization by Paul Barde et al
06-26-2020	Critic Regularized Regression by Ziyu Wang et al
06-25-2020	CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias by Satyam Mohla et al
06-23-2020	Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications by Jamie Pool et al
06-25-2020	Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems by Vera Steinhoff et al
06-23-2020	A Framework for Fairness in Two-Sided Marketplaces by Kinjal Basu et al
06-23-2020	Control-Aware Representations for Model-based Reinforcement Learning by Brandon Cui et al
06-23-2020	Encoding Legal Balancing: Automating an Abstract Ethico-Legal Value Ontology in Preference Logic by Christoph Benzmüller et al
06-23-2020	Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences by Laureline Logiaco et al
06-26-2020	Approximating Euclidean by Imprecise Markov Decision Processes by Manfred Jaeger et al
06-25-2020	Plausible Reasoning about EL-Ontologies using Concept Interpolation by Yazmín Ibáñez-García et al
06-24-2020	Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks by Youbiao He et al
06-23-2020	Coverage Path Planning with Track Spacing Adaptation for Autonomous Underwater Vehicles by Veronika Yordanova et al
06-23-2020	Traffic congestion anomaly detection and prediction using deep learning by Adriana-Simona Mihaita et al
06-23-2020	Using Deep Learning and Explainable Artificial Intelligence in Patients Choices of Hospital Levels by Lichin Chen et al
06-26-2020	Graph modelling approaches for motorway traffic flow prediction by Adriana-Simona Mihaita et al
06-24-2020	AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types by Xin Luna Dong et al
06-26-2020	AvE: Assistance via Empowerment by Yuqing Du et al
06-25-2020	The State of AI Ethics Report (June 2020) by Abhishek Gupta et al
06-24-2020	Road Network Metric Learning for Estimated Time of Arrival by Yiwen Sun et al
06-24-2020	Namira Soccer 2D Simulation Team Description Paper 2020 by Ehsan Asali et al
06-26-2020	Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning by Lin Guan et al
06-24-2020	DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model by Yao Cheng et al
06-24-2020	Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator by Chelhwon Kim et al
06-25-2020	Joints in Random Forests by Alvaro H. C. Correia et al
06-23-2020	DINGO: an ontology for projects and grants linked data by Diego Chialva et al
06-24-2020	Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary by Ming Y. Lu et al
06-23-2020	Winning the competition: enhancing counter-contagion in SIS-like epidemic processes by Argyris Kalogeratos et al