Asymptotic Confidence Regions for High-dimensional Structured Sparsity. Open-Category Classification by Adversarial Sample Generation. Meta learning Framework for Automated Driving. Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory. CT Image Reconstruction in a Low Dimensional Manifold. Map-based Multi-Policy Reinforcem …

Online Convex Optimization with Stochastic Constraints. ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection. Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network. Abstract Syntax Networks for Code Generation and Semantic Parsing. DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep …