2019.05.19 AI papers

05-14-2019	Learnable Triangulation of Human Pose by Karim Iskakov et al
05-15-2019	Meta reinforcement learning as task inference by Jan Humplik et al
05-14-2019	Generative Design in Minecraft: Chronicle Challenge by Christoph Salge et al
05-15-2019	Distribution Calibration for Regression by Hao Song et al
05-14-2019	Zero-Shot Voice Style Transfer with Only Autoencoder Loss by Kaizhi Qian et al
05-15-2019	Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets by Guanhua Zhang et al
05-14-2019	Improving Neural Conversational Models with Entropy-Based Data Filtering by Richard Csaky et al
05-14-2019	Misleading Failures of Partial-input Baselines by Shi Feng et al
05-14-2019	Expression Conditional GAN for Facial Expression-to-Expression Translation by Hao Tang et al
05-15-2019	From What to How. An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices by Jessica Morley et al
05-15-2019	IPC: A Benchmark Data Set for Learning with Graph-Structured Data by Patrick Ferber et al
05-14-2019	Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach by Shaeke Salman et al
05-16-2019	TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking by Chen Qian et al
05-15-2019	Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction by Lingbo Liu et al
05-14-2019	Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates by Dennis J. N. J. Soemers et al
05-16-2019	One-Shot Texture Retrieval with Global Context Metric by Kai Zhu et al
05-15-2019	Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair by Chi Zhang et al
05-17-2019	Distant Learning for Entity Linking with Automatic Noise Detection by Phong Le et al
05-15-2019	TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features by Mohsin Munir et al
05-14-2019	Is Word Segmentation Necessary for Deep Learning of Chinese Representations? by Yuxian Meng et al
05-15-2019	Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning by Artur d'Avila Garcez et al
05-15-2019	Autonomous Penetration Testing using Reinforcement Learning by Jonathon Schwartz et al
05-14-2019	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning by Kyunghwan Son et al
05-14-2019	Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization by Binyamin Manela et al
05-16-2019	Derived Codebooks for High-Accuracy Nearest Neighbor Search by Fabien André et al
05-15-2019	Synthesis of Provably Correct Autonomy Protocols for Shared Control by Murat Cubuktepe et al
05-17-2019	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning by Manan Tomar et al
05-16-2019	Fairness in Machine Learning with Tractable Models by Michael Varley et al
05-16-2019	Meta Reinforcement Learning with Task Embedding and Shared Policy by Lin Lan et al
05-16-2019	Mastering the Game of Sungka from Random Play by Darwin Bautista et al
05-16-2019	Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader by Wenhan Xiong et al
05-17-2019	A critique of the DeepSec Platform for Security Analysis of Deep Learning Models by Nicholas Carlini
05-15-2019	Neural Query Language: A Knowledge Base Query Language for Tensorflow by William W. Cohen et al
05-17-2019	TBQ(σσ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning by Longxiang Shi et al
05-16-2019	Scalable Graph Embeddings via Sparse Transpose Proximities by Yuan Yin et al
05-14-2019	American Sign Language Alphabet Recognition using Deep Learning by Nikhil Kasukurthi et al
05-16-2019	Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation by Federico A. Galatolo et al
05-14-2019	A Unified Linear-Time Framework for Sentence-Level Discourse Parsing by Xiang Lin et al
05-17-2019	Plotting Marksons Mistress by Kelleher Conor et al
05-17-2019	Dont Blame Distributional Semantics if it cant do Entailment by Matthijs Westera et al
05-14-2019	The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence by Radoslaw Martin Cichy et al
05-16-2019	Autonomous Vehicle Control: End-to-end Learning in Simulated Urban Environments by Hege Haavaldsen et al
05-14-2019	Trajectory-Based Off-Policy Deep Reinforcement Learning by Andreas Doerr et al
05-16-2019	Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection by Aditya Kuppa et al
05-14-2019	Data Markets to support AI for All: Pricing, Valuation and Governance by Ramesh Raskar et al
05-16-2019	Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables by Friso H. Kingma et al
05-16-2019	KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks by Donghyeon Park et al
05-15-2019	Modern Problems Require Modern Solutions: Hybrid Concepts for Industrial Intrusion Detection by Simon D. Duque Anton et al
05-15-2019	Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction by Hongjiang Wei et al
05-16-2019	Knowledge-Based Sequential Decision-Making Under Uncertainty by Daoming Lyu
05-16-2019	Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields by Tom Hanika et al
05-14-2019	Knowledge-based multi-level aggregation for decision aid in the machining industry by Mathieu Ritou et al
05-14-2019	Imputing Missing Events in Continuous-Time Event Streams by Hongyuan Mei et al
05-14-2019	TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture by Gorker Alp Malazgirt et al
05-16-2019	Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection by Adarsh Kyadige et al
05-15-2019	Survival of the Fittest in PlayerUnknown BattleGround by Brij Rokad et al
05-14-2019	Crowdsourcing Data Acquisition via Social Networks by Wen Zhang et al
05-17-2019	How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins by Mark T Keane et al
05-16-2019	A Correctness Result for Synthesizing Plans With Loops in Stochastic Domains by Laszlo Treszkai et al
05-15-2019	ELIMINATION from Design to Analysis by Ahmed Khalifa et al
05-15-2019	Improved Safe Real-time Heuristic Search by Bence Cserna et al
05-14-2019	Quantitative Logic Reasoning by Marcelo Finger
05-14-2019	DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills by Benoît Choffin et al
05-14-2019	A Clinical Approach to Training Effective Data Scientists by Kit T Rodolfa et al
05-14-2019	Successor Options: An Option Discovery Framework for Reinforcement Learning by Rahul Ramesh et al
05-17-2019	Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy by Jakub Sawicki et al
05-14-2019	Parallel genetic algorithm for planning safe and optimal route for ship by Ivan Yanchin et al
05-14-2019	Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice by Alessandro Umbrico
05-14-2019	Fixed-price Diffusion Mechanism Design by Tianyi Zhang et al