Cardinality Estimation in a Virtualized Network Device Using Online Machine Learning. Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks. Effect Inference from Two-Group Data with Sampling Bias. Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification. Regression and Classif …

Distributed Nesterov gradient methods over arbitrary graphs. Identifying nearby sources of ultra-high-energy cosmic rays with deep learning. First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation. Texture Bias Of CNNs Limits Few-Shot Classification Performance. Scalable Change Retrieval Using Deep 3D Neural …