2019.11.03 AI papers

11-01-2019	BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding by Emad Elwany et al
10-31-2019	The importance of evaluating the complete automated knowledge-based planning pipeline by Aaron Babier et al
10-31-2019	PODNet: A Neural Network for Discovery of Plannable Options by Ritwik Bera et al
10-31-2019	Quantifying (Hyper) Parameter Leakage in Machine Learning by Vasisht Duddu et al
10-30-2019	Multi Modal Semantic Segmentation using Synthetic Data by Kartik Srivastava et al
10-30-2019	RBED: Reward Based Epsilon Decay by Aakash Maroti
10-30-2019	Bayesian causal inference via probabilistic program synthesis by Sam Witty et al
11-01-2019	Explanation by Progressive Exaggeration by Sumedha Singla et al
10-31-2019	Learning Fairness in Multi-Agent Systems by Jiechuan Jiang et al
10-29-2019	Generalization of Reinforcement Learners with Working and Episodic Memory by Meire Fortunato et al
11-01-2019	Decentralized Distributed PPO: Solving PointGoal Navigation by Erik Wijmans et al
11-01-2019	Engaging in Dialogue about an Agents Norms and Behaviors by Daniel Kasenberg et al
10-29-2019	Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms by Tuhin Sahai et al
10-29-2019	Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss by Cao Liu et al
10-30-2019	Belief revision and 3-valued logics: Characterization of 19,683 belief change operators by Nerio Borges et al
10-30-2019	A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning by Ashutosh Singh et al
10-31-2019	Continual Unsupervised Representation Learning by Dushyant Rao et al
11-01-2019	Research and application of time series algorithms in centralized purchasing data by Yun Bai et al
11-01-2019	Generating Justifications for Norm-Related Agent Decisions by Daniel Kasenberg et al
10-30-2019	Lexical Learning as an Online Optimal Experiment: Building Efficient Search Engines through Human-Machine Collaboration by Jacopo Tagliabue et al
10-30-2019	Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue by Yue Ma et al
11-01-2019	Reasoning Over Paths via Knowledge Base Completion by Saatviga Sudhahar et al
10-29-2019	Contrastive Attention Mechanism for Abstractive Sentence Summarization by Xiangyu Duan et al
10-29-2019	Weight of Evidence as a Basis for Human-Oriented Explanations by David Alvarez-Melis et al
10-29-2019	Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation by Risto Vuorio et al
10-29-2019	Feedback Linearization for Unknown Systems via Reinforcement Learning by Tyler Westenbroek et al
10-30-2019	Towards A Logical Account of Epistemic Causality by Shakil M. Khan et al
11-01-2019	Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning by Kyoichiro Kobayashi et al
10-29-2019	Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities by Hazel Si Min Lim et al
10-29-2019	Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets by Daniel Kumor et al
10-29-2019	Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization by Matteo Turchetta et al
10-30-2019	Safe Exploration for Interactive Machine Learning by Matteo Turchetta et al
10-29-2019	Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data by Qin Lin et al
11-01-2019	Explaining black box decisions by Shapley cohort refinement by Masayoshi Mase et al
11-01-2019	Generalized Mean Estimation in Monte-Carlo Tree Search by Tuan Dam et al
10-31-2019	DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering by Yuval Heffetz et al
10-30-2019	Path Planning Games by Yi Li et al
10-29-2019	Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps by Yat Long Lo et al
10-29-2019	Knowledge Tracing with Sequential Key-Value Memory Networks by Ghodai Abdelrahman et al
10-29-2019	Mathematical decisions and non-causal elements of explainable AI by Atoosa Kasirzadeh
10-29-2019	RAKA:Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment by Bo Chen et al
10-30-2019	FutureMapping 2: Gaussian Belief Propagation for Spatial AI by Andrew J. Davison et al
10-31-2019	Object-oriented state editing for HRL by Victor Bapst et al
10-29-2019	Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments by Fei Xia et al
11-01-2019	Generalized Speedy Q-learning by Indu John et al
10-30-2019	Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control by Coline Devin et al
10-29-2019	Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning by Xin Qin et al
10-29-2019	Proceedings of the 4th Workshop on Formal Reasoning about Causation, Responsibility, and Explanations in Science and Technology by Georgiana Caltais et al
10-31-2019	What Question Answering can Learn from Trivia Nerds by Jordan Boyd-Graber