2020.3.8 AI papers

03-06-2020	Learning the Designers Preferences to Drive Evolution by Alberto Alvarez et al
03-05-2020	Challenges in Supporting Exploratory Search through Voice Assistants by Xiao Ma et al
03-06-2020	Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization by Patrick Hart et al
03-03-2020	Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion by Jingyuan Yang et al
03-05-2020	Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents by Toby Jia-Jun Li et al
03-03-2020	Marketplace for AI Models by Abhishek Kumar et al
03-06-2020	Deep Active Inference for Autonomous Robot Navigation by Ozan Çatal et al
03-04-2020	Active Preference Elicitation via Adjustable Robust Optimization by Phebe Vayanos et al
03-06-2020	Knowledge graph based methods for record linkage by B. Gautam et al
03-05-2020	Other-Play for Zero-Shot Coordination by Hengyuan Hu et al
03-03-2020	Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning by Haozhe Wang et al
03-06-2020	Can ML predict the solution value for a difficult combinatorial problem? by Constantine Goulimis et al
03-03-2020	On Emergent Communication in Competitive Multi-Agent Teams by Paul Pu Liang et al
03-06-2020	On the Role of Conceptualization in Commonsense Knowledge Graph Construction by Mutian He et al
03-03-2020	Model Assertions for Monitoring and Improving ML Models by Daniel Kang et al
03-04-2020	A Snooze-less User-Aware Notification System for Proactive Conversational Agents by Yara Rizk et al
03-05-2020	A Quantitative History of A.I. Research in the United States and China by Daniel Ish et al
03-04-2020	AI-Mediated Exchange Theory by Xiao Ma et al
03-06-2020	Parsing Thai Social Data: A New Challenge for Thai NLP by Sattaya Singkul et al
03-03-2020	Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles by Dhanoop Karunakaran et al
03-05-2020	An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making by Evangelia Kyrimi et al
03-03-2020	Hierarchically Decoupled Imitation for Morphological Transfer by Donald J. Hejna et al
03-03-2020	Embodied Synaptic Plasticity with Online Reinforcement learning by Jacques Kaiser et al
03-05-2020	Safe Mission Planning under Dynamical Uncertainties by Yimeng Lu et al
03-04-2020	Interactive Robot Training for Non-Markov Tasks by Ankit Shah et al
03-03-2020	Evidence-based explanation to promote fairness in AI systems by Juliana Jansen Ferreira et al
03-04-2020	Dynamic Experience Replay by Jieliang Luo et al
03-04-2020	Knowledge Graphs by Aidan Hogan et al
03-03-2020	EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis by Andrea Morichetta et al
03-05-2020	HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference by Tianyu Liu et al
03-05-2020	Path Planning Using Probability Tensor Flows by Francesco A. N. Palmieri et al
03-03-2020	Self-Supervised Object-Level Deep Reinforcement Learning by William Agnew et al
03-03-2020	Scaling MAP-Elites to Deep Neuroevolution by Cédric Colas et al
03-03-2020	Robust Market Making via Adversarial Reinforcement Learning by Thomas Spooner et al
03-06-2020	Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach by Oleksandr Palagin et al
03-06-2020	DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation by Kshitij Tiwari et al
03-04-2020	ViCE: Visual Counterfactual Explanations for Machine Learning Models by Oscar Gomez et al