Scalable Adaptive Stochastic Optimization Using Random Projections. A-expansion for multiple “hedgehog” shapes. Compression and the origins of Zipf’s law for word frequencies. Sub-Linear Privacy-Preserving Near-Neighbor Search. DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression. Image Credibility Analysis with Effect …

Input Convex Neural Networks. Temporal Learning and Sequence Modeling for a Job Recommender System. A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. Deep Fully-Connected Networks for Video Compressive Sensing. Deep Learning for Music. Word Ordering Without Syntax. On Image segmentation using Fractional Gradients-Learning Model P …

Deep Networks with Stochastic Depth. Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing. Convolutional Radio Modulation Recognition Networks. Confidence driven TGV fusion. Deep Learning without Poor Local Minima. A Power …