Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. Kernalised Multi-resolution Convnet for Visual Tracking. Neural Question Generation from Text: A Preliminary Study. An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian Models. Towards Principled Methods for Training …

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution. Towards Robust Detection of Adversarial Examples. GANosaic: Mosaic Creation with Generative Texture Manifolds. Automatic Generation of Typographic Font from a Small Font Subset. Sympathy B …

A Statistical Machine Learning Approach to Yield Curve Forecasting. An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems. Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. A Novel Low-Complexity Framework in Ultra-Wideband Imaging for Breast Cancer Detection. ScanNet: A Fast and Dense S …

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient. Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?. Pillar Networks++: Distributed non-parametric deep and wide networks. Coalescent-based species tree estimation: a stochastic Farris transform. Independent Motion Detection with Event-dri …

Language Independent Single Document Image Super-Resolution using CNN for improved recognition. Fine-Gray competing risks model with high-dimensional covariates: estimation and Inference. Sample complexity of population recovery. Bayesian Belief Updating of Spatiotemporal Seizure Dynamics. A General Model for Robust Tensor Factorization with Unknow …

Growth-Optimal Portfolio Selection under CVaR Constraints. Morphological Error Detection in 3D Segmentations. Nonlinear Sequential Accepts and Rejects for Identification of Top Arms in Stochastic Bandits. ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases. Data-Driven Synthesis of Smoke Flows with CNN-based Feature …