2019.09.15 AI papers

09-10-2019	Meta-Learning with Implicit Gradients by Aravind Rajeswaran et al
09-12-2019	Modular Meta-Learning with Shrinkage by Yutian Chen et al
09-10-2019	DeepPrivacy: A Generative Adversarial Network for Face Anonymization by Håkon Hukkelås et al
09-12-2019	Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation by Suraj Nair et al
09-11-2019	FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency by Kacper Sokol et al
09-11-2019	Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices by Tiancheng Xia et al
09-12-2019	Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning by Dexter R. R. Scobee et al
09-11-2019	Deep Declarative Networks: A New Hope by Stephen Gould et al
09-11-2019	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases by Tao Yu et al
09-11-2019	Interactive Fiction Games: A Colossal Adventure by Matthew Hausknecht et al
09-12-2019	Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently by Vishnu Suresh Lokhande et al
09-10-2019	Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text by Bhavana Dalvi Mishra et al
09-10-2019	Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations by Venktesh Pandey et al
09-10-2019	An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue by Norman Packard et al
09-10-2019	WIQA: A dataset for What if... reasoning over procedural text by Niket Tandon et al
09-12-2019	MOSS: End-to-End Dialog System Framework with Modular Supervision by Weixin Liang et al
09-12-2019	Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning by Yichen Jiang et al
09-12-2019	Inspecting adversarial examples using the Fisher information by Jörg Martin et al
09-10-2019	Core Semantic First: A Top-down Approach for AMR Parsing by Deng Cai et al
09-12-2019	ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System by Oren Pereg et al
09-12-2019	Fine-Grained Entity Typing for Domain Independent Entity Linking by Yasumasa Onoe et al
09-12-2019	Reinforcement Learning: a Comparison of UCB Versus Alternative Adaptive Policies by Wesley Cowan et al
09-12-2019	Multiple Partitions Aligned Clustering by Zhao Kang et al
09-13-2019	Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications by Tamir Blum et al
09-13-2019	Evaluating and Boosting Uncertainty Quantification in Classification by Xiaoyang Huang et al
09-11-2019	A Discrete Hard EM Approach for Weakly Supervised Question Answering by Sewon Min et al
09-10-2019	Neural Belief Reasoner by Haifeng Qian
09-11-2019	Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning by Felix Leibfried et al
09-10-2019	Accelerating Training using Tensor Decomposition by Mostafa Elhoushi et al
09-11-2019	Trust and Cognitive Load During Human-Robot Interaction by Muneeb Imtiaz Ahmad et al
09-13-2019	Explainable Machine Learning in Deployment by Umang Bhatt et al
09-12-2019	Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution by Vishnu Suresh Lokhande et al
09-10-2019	Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB by Yumeng Zhang et al
09-13-2019	Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering by Shiyue Zhang et al
09-11-2019	Correlation Priors for Reinforcement Learning by Bastian Alt et al
09-11-2019	PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression by Sicheng Zhao et al
09-10-2019	FDA: Feature Disruptive Attack by Aditya Ganeshan et al
09-13-2019	A Neural Approach to Irony Generation by Mengdi Zhu et al
09-13-2019	Say What I Want: Towards the Dark Side of Neural Dialogue Models by Haochen Liu et al
09-10-2019	Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation by Arijit Ray et al
09-11-2019	Safe Policy Improvement with an Estimated Baseline Policy by Thiago D. Simão et al
09-12-2019	Unsupervised Learning and Exploration of Reachable Outcome Space by Giuseppe Paolo et al
09-11-2019	An Iterative Approach for Multiple Instance Learning Problems by Kaili Wang et al
09-10-2019	MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning by Bohan Wu et al
09-13-2019	Scene Graph Parsing by Attention Graph by Martin Andrews et al
09-13-2019	ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off by Lucas Cassano et al
09-12-2019	Augmented Data Science: Towards Industrialization and Democratization of Data Science by Huseyin Uzunalioglu et al
09-12-2019	Finding Generalizable Evidence by Learning to Convince Q&A Models by Ethan Perez et al
09-12-2019	Learning First-Order Symbolic Planning Representations from Plain Graphs by Blai Bonet et al
09-10-2019	Attesting Biases and Discrimination using Language Semantics by Xavier Ferrer Aran et al
09-11-2019	LazyBum: Decision tree learning using lazy propositionalization by Jonas Schouterden et al
09-13-2019	Petri Net Machines for Human-Agent Interaction by Christian Dondrup et al
09-13-2019	Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices by Vincent S. Chen et al
09-10-2019	A Deep Learning Approach to Grasping the Invisible by Yang Yang et al
09-11-2019	Group Representation Theory for Knowledge Graph Embedding by Chen Cai
09-10-2019	Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning by Thommen George Karimpanal et al
09-12-2019	Differentially Private Meta-Learning by Jeffrey Li et al
09-13-2019	A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces by Anne Lauscher et al
09-11-2019	On Memory Mechanism in Multi-Agent Reinforcement Learning by Yilun Zhou et al
09-10-2019	VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks by Shuang Gao et al
09-13-2019	Toward Automated Quest Generation in Text-Adventure Games by Prithviraj Ammanabrolu et al
09-10-2019	A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems by Hiroyuki Kido et al
09-10-2019	Force-based Algorithm for Motion Planning of Large Agent Teams by Samaneh Hosseini Semnani et al
09-11-2019	Abstraction for Zooming-In to Unsolvability Reasons of Grid-Cell Problems by Thomas Eiter et al
09-10-2019	Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming by Stéphanie Chevalier et al
09-12-2019	Joint Inference of Reward Machines and Policies for Reinforcement Learning by Zhe Xu et al
09-10-2019	Automatic difficulty management and testing in games using a framework based on behavior trees and genetic algorithms by Ciprian Paduraru et al
09-10-2019	Discovery of Useful Questions as Auxiliary Tasks by Vivek Veeriah et al
09-10-2019	Learning review representations from user and product level information for spam detection by Chunyuan Yuan et al
09-12-2019	Modeling Sensorimotor Coordination as Multi-Agent Reinforcement Learning with Differentiable Communication by Bowen Jing et al
09-11-2019	Motion Planning Explorer: Visualizing Local Minima using a Local-Minima Tree by Andreas Orthey et al
09-12-2019	HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph by Simon Gottschalk et al
09-10-2019	Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study by Aixiu An et al
09-10-2019	The Prevalence of Errors in Machine Learning Experiments by Martin Shepperd et al
09-10-2019	Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming by J. van Diggelen et al
09-13-2019	Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems by Andrea Barraza-Urbina et al
09-12-2019	Quantitative Programming by Examples by Sumit Gulwani et al
09-10-2019	Hierarchical Planning in the IPC by D. Höller et al
09-12-2019	On educating machines by George Leu et al
09-11-2019	HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography by Dashan Gao et al
09-10-2019	Learning Hierarchically Structured Concepts by Nancy Lynch et al
09-10-2019	Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors by Venkateswararao Cherukuri et al