An Axiomatic Approach to Regularizing Neural Ranking Models. Dense RepPoints: Representing Visual Objects with Dense Point Sets. Opportunities for artificial intelligence in advancing precision medicine. A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction. Neural Review Rating Prediction with Hier …

Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries. Learning to Answer Ambiguous Questions with Knowledge Graph. Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks. RinQ Fingerprinting: Recurrence-informed …

Network Offloading Policies for Cloud Robotics: a Learning-based Approach. Learning Instance Occlusion for Panoptic Segmentation. BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain. Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. A Study on Agreement in PICO Span Annotation …

Power Weighted Shortest Paths for Clustering Euclidean Data. Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes. Deep Reinforcement Learning for Online Advertising in Recommender Systems. Using Restart Heuristics to Improve Agent Performance in Angry Birds. Flash X-ray diffraction imaging in 3D: a prop …