03.10.19 Intelligence papers

03-06-2019	Learning multimodal representations for sample-efficient recognition of human actions by Miguel Vasco et al
03-08-2019	Learning Heuristics over Large Graphs via Deep Reinforcement Learning by Akash Mittal et al
03-09-2019	Program Classification Using Gated Graph Attention Neural Network for Online Programming Service by Mingming Lu et al
03-07-2019	Explicit-risk-aware Path Planning with Reward Maximization by Xuesu Xiao et al
03-06-2019	Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control by Hsu-Chieh Hu et al
03-06-2019	Selling Multiple Items via Social Networks by Dengji Zhao et al
03-07-2019	Robust and Communication-Efficient Federated Learning from Non-IID Data by Felix Sattler et al
03-07-2019	Composite Event Recognition for Maritime Monitoring by Manolis Pitsikalis et al
03-11-2019	Graph Data on the Web: extend the pivot, dont reinvent the wheel by Fabien Gandon et al
03-08-2019	Lets Play Mahjong! by Sanjiang Li et al
03-11-2019	Gradient Descent based Optimization Algorithms for Deep Learning Models Training by Jiawei Zhang
03-07-2019	Three-Way Decisions-Based Conflict Analysis Models by Guangming Lang
03-07-2019	RAVEN: A Dataset for Relational and Analogical Visual rEasoNing by Chi Zhang et al
03-10-2019	From Low-Level Events to Activities -- A Session-Based Approach (Extended Version) by Massimiliano de Leoni
03-10-2019	Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification by Honghan Wu et al
03-08-2019	Inductive Transfer for Neural Architecture Optimization by Martin Wistuba et al
03-07-2019	Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning by Alex Kearney et al
03-06-2019	Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation by Jiameng Fan et al
03-08-2019	Jointly Learning Explainable Rules for Recommendation with Knowledge Graph by Weizhi Ma et al
03-08-2019	Improving Skin Condition Classification with a Visual Symptom Checker trained using Reinforcement Learning by Mohamed Akrout et al
03-09-2019	Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots by Pooyan Jamshidi et al
03-10-2019	Knowledge compilation languages as proof systems by Florent Capelli
03-06-2019	Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System by Yujie Chen et al
03-06-2019	Concurrent Meta Reinforcement Learning by Emilio Parisotto et al
03-10-2019	Exploring OpenStreetMap Availability for Driving Environment Understanding by Yang Zheng et al
03-08-2019	Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets by Nicolas Roulet et al
03-08-2019	Skew-Fit: State-Covering Self-Supervised Reinforcement Learning by Vitchyr H. Pong et al
03-08-2019	Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching by Justin Lin et al
03-11-2019	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics by Denis Steckelmacher et al
03-07-2019	Dyna-AIL : Adversarial Imitation Learning by Planning by Vaibhav Saxena et al
03-07-2019	ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E by Karel Chvalovský et al
03-10-2019	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games by Chun Kai Ling et al
03-10-2019	Blameworthiness in Multi-Agent Settings by Meir Friedenberg et al
03-07-2019	Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning by Dong Ki Kim et al
03-06-2019	Deep Random Splines for Point Process Intensity Estimation by Gabriel Loaiza-Ganem et al
03-09-2019	Interpolation Consistency Training for Semi-Supervised Learning by Vikas Verma et al
03-10-2019	Improving Humanness of Virtual Agents and Users Cooperation through Emotions by Moojan Ghafurian et al
03-10-2019	Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches by Philip John Gorinski et al
03-11-2019	Reachability and Coverage Planning for Connected Agents: Extended Version by Tristan Charrier et al
03-07-2019	Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks by Daniel Molina et al
03-11-2019	Building an Affordances Map with Interactive Perception by Leni K. Le Goff et al
03-11-2019	Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning by Zhewei Huang et al
03-07-2019	Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes by Tianwen Jiang et al
03-07-2019	Lifted Weight Learning of Markov Logic Networks Revisited by Ondrej Kuzelka et al
03-07-2019	Learning to Speak and Act in a Fantasy Text Adventure Game by Jack Urbanek et al
03-07-2019	MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments by Kenny Young et al
03-09-2019	A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks by Bin Wang et al
03-08-2019	Learning Self-Game-Play Agents for Combinatorial Optimization Problems by Ruiyang Xu et al
03-09-2019	Logic Rules Powered Knowledge Graph Embedding by Pengwei Wang et al
03-06-2019	Combining Optimal Control and Learning for Visual Navigation in Novel Environments by Somil Bansal et al
03-09-2019	Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning by Smitha Milli et al
03-09-2019	Rectangular Bounding Process by Xuhui Fan et al
03-07-2019	Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems by Chongwen Huang et al
03-06-2019	Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning by Shumpei Kubosawa et al
03-07-2019	Integrating Artificial and Human Intelligence for Efficient Translation by Nico Herbig et al
03-11-2019	Physics Enhanced Artificial Intelligence by Patrick O'Driscoll et al
03-10-2019	Hybrid Reinforcement Learning with Expert State Sequences by Xiaoxiao Guo et al
03-06-2019	Attack Graph Obfuscation by Rami Puzis et al
03-11-2019	Pragmatic inference and visual abstraction enable contextual flexibility during visual communication by Judith Fan et al
03-07-2019	Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes by Bohan Wu et al
03-11-2019	Better-than-expert detection of early coronary artery occlusion from 12 lead electrocardiograms using deep learning by Rob Brisk et al
03-11-2019	Accuracy Booster: Performance Boosting using Feature Map Re-calibration by Pravendra Singh et al
03-08-2019	Towards Time-Aware Distant Supervision for Relation Extraction by Tianwen Jiang et al
03-11-2019	Similarity Learning via Kernel Preserving Embedding by Zhao Kang et al
03-07-2019	CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog by Satwik Kottur et al
03-10-2019	Rethinking System Health Management by Edward Balaban et al
03-11-2019	Manipulation by Feel: Touch-Based Control with Deep Predictive Models by Stephen Tian et al
03-08-2019	Generating Difficult SAT Instances by Preventing Triangles by Guillaume Escamocher et al
03-11-2019	HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs by Pravendra Singh et al
03-10-2019	Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach by Man Luo et al
03-06-2019	Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care by Matthieu Komorowski et al