2020.6.15 AI papers

06-11-2020	SECure: A Social and Environmental Certificate for AI Systems by Abhishek Gupta et al
06-09-2020	Contestable Black-Boxes by Andrea Aler Tubella et al
06-11-2020	Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning by Qing Li et al
06-11-2020	Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge by Alon Talmor et al
06-10-2020	Self-Supervised Reinforcement Learning for Recommender Systems by Xin Xin et al
06-11-2020	Surveys without Questions: A Reinforcement Learning Approach by Atanu R Sinha et al
06-10-2020	Report from the NSF Future Directions Workshop, Toward User-Oriented Agents: Research Directions and Challenges by Maxine Eskenazi et al
06-09-2020	Optimal Continual Learning has Perfect Memory and is NP-hard by Jeremias Knoblauch et al
06-11-2020	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France by Paul Boniol et al
06-10-2020	Emora STDM: A Versatile Framework for Innovative Dialogue System Development by James D. Finch et al
06-10-2020	Consolidating Commonsense Knowledge by Filip Ilievski et al
06-09-2020	ConfNet2Seq: Full Length Answer Generation from Spoken Questions by Vaishali Pal et al
06-10-2020	Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus by Luisa Bentivogli et al
06-09-2020	Neural Physicist: Learning Physical Dynamics from Image Sequences by Baocheng Zhu et al
06-10-2020	Scalable Partial Explainability in Neural Networks via Flexible Activation Functions by Schyler C. Sun et al
06-10-2020	ClarQ: A large-scale and diverse dataset for Clarification Question Generation by Vaibhav Kumar et al
06-10-2020	Toward a standardized methodology for constructing quantum computing use cases by Nicholas Chancellor et al
06-11-2020	Potential Field Guided Actor-Critic Reinforcement Learning by Weiya Ren
06-09-2020	Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image by Danny Driess et al
06-09-2020	Physically constrained short-term vehicle trajectory forecasting with naive semantic maps by Albert Dulian et al
06-12-2020	Deep Reinforcement Learning for Neural Control by Jimin Kim et al
06-11-2020	Bandits with Partially Observable Offline Data by Guy Tennenholtz et al
06-11-2020	A framework for step-wise explaining how to solve constraint satisfaction problems by Bart Bogaerts et al
06-10-2020	Marginal Utility for Planning in Continuous or Large Discrete Action Spaces by Zaheen Farraz Ahmad et al
06-11-2020	Learning to Play by Imitating Humans by Rostam Dinyari et al
06-11-2020	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward by Guannan Qu et al
06-09-2020	Constrained episodic reinforcement learning in concave-convex and knapsack settings by Kianté Brantley et al
06-11-2020	Zeroth-Order Supervised Policy Improvement by Hao Sun et al
06-11-2020	Graph Neural Networks for Motion Planning by Arbaaz Khan et al
06-12-2020	A Brief Look at Generalization in Visual Meta-Reinforcement Learning by Safa Alver et al
06-09-2020	The Tragedy of the AI Commons by Travis LaCroix et al
06-12-2020	Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL by Cédric Colas et al
06-11-2020	Sensorimotor Visual Perception on Embodied System Using Free Energy Principle by Kanako Esaki et al
06-10-2020	Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection by Abenezer Girma et al
06-09-2020	DeepFair: Deep Learning for Improving Fairness in Recommender Systems by Jesús Bobadilla et al
06-12-2020	Human and Multi-Agent collaboration in a human-MARL teaming framework by Neda Navidi et al
06-11-2020	From proprioception to long-horizon planning in novel environments: A hierarchical RL model by Nishad Gothoskar et al
06-09-2020	Online Learning in Iterated Prisoners Dilemma to Mimic Human Behavior by Baihan Lin et al
06-10-2020	System to Integrate Fairness Transparently: An Industry Approach by Emily Dodwell et al
06-09-2020	TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation by Ningyuan Sun et al
06-11-2020	A Novel Meta-Heuristic Optimization Algorithm Inspired by the Spread of Viruses by Zhixi Li et al
06-12-2020	Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments by Hari Teja Tatavarti et al
06-09-2020	Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization by Samuel Daulton et al
06-09-2020	What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time by Hanna Benoni et al
06-10-2020	The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning by Maximilian Igl et al
06-09-2020	Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN by Shangqing Liu et al
06-10-2020	The Emergence of Individuality in Multi-Agent Reinforcement Learning by Jiechuan Jiang et al
06-09-2020	Variational Model-based Policy Optimization by Yinlam Chow et al
06-12-2020	Decorrelated Double Q-learning by Gang Chen
06-10-2020	Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence by Eric MSP Veith et al
06-11-2020	Avoiding Side Effects in Complex Environments by Alexander Matt Turner et al
06-09-2020	Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors by Longshaokan Wang et al
06-09-2020	SANOM Results for OAEI 2019 by Majid Mohammadi et al
06-09-2020	Stable Prediction via Leveraging Seed Variable by Kun Kuang et al
06-09-2020	Fitted Q-Learning for Relational Domains by Srijita Das et al
06-11-2020	Complementary Visual Neuronal Systems Model for Collision Sensing by Qinbing Fu et al
06-12-2020	DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents by Ahmed Akakzia et al
06-10-2020	Balancing Fairness and Efficiency in an Optimization Model by Violet Xinying Chen et al
06-10-2020	Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents by Anil Ozturk et al
06-10-2020	OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms by Giorgio Visani et al
06-10-2020	Modeling Human Driving Behavior through Generative Adversarial Imitation Learning by Raunak Bhattacharyya et al
06-10-2020	A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play by Shray Bansal et al
06-10-2020	Rinascimento: using event-value functions for playing Splendor by Ivan Bravi et al
06-11-2020	Robustness to Adversarial Attacks in Learning-Enabled Controllers by Zikang Xiong et al
06-12-2020	Recurrent Neural Networks for Stochastic Control in Real-Time Bidding by Nicolas Grislain et al
06-09-2020	Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers by Mohammad Pirhooshyaran et al
06-11-2020	Petri Nets with Parameterised Data: Modelling and Verification (Extended Version) by Silvio Ghilardi et al
06-11-2020	The Smoothed Possibility of Social Choice by Lirong Xia
06-12-2020	A Formal Language Approach to Explaining RNNs by Bishwamittra Ghosh et al
06-09-2020	Policy-focused Agent-based Modeling using RL Behavioral Models by Osonde A. Osoba et al
06-11-2020	Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System by Jianhong Wang et al
06-11-2020	A New Perspective on Learning Context-Specific Independence by Yujia Shen et al
06-10-2020	At-Most-One Constraints in Efficient Representations of Mutex Networks by Pavel Surynek
06-11-2020	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach by Amir-Hossein Karimi et al
06-11-2020	Multi-Agent Informational Learning Processes by Justin K Terry et al
06-12-2020	Optimal Allocation of Real-Time-Bidding and Direct Campaigns by Grégoire Jauvion et al
06-11-2020	Bandit-PAM: Almost Linear Time kk-Medoids Clustering via Multi-Armed Bandits by Mo Tiwari et al