Towards Large Scale Training Of Autoencoders For Collaborative Filtering. Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. Predicting drug response of tumors from integrated genomic profiles by deep neural networks. Large Scale GAN Training for High Fidelity Natural Image Synthesis. Model-Ensemble Trust-Region Policy O …

Molecular generative model based on conditional variational autoencoder for de novo molecular design. The Importance of Being Recurrent for Modeling Hierarchical Structure. A Differential Privacy Mechanism Design Under Matrix-Valued Query. Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. Proximity Forest: An effective …

Locally Adaptive Learning Loss for Semantic Image Segmentation. Learning with Analytical Models. Formal Context Generation using Dirichlet Distributions. Non-Factorised Variational Inference in Dynamical Systems. Parser Training with Heterogeneous Treebanks. Inference of Users Demographic Attributes based on Homophily in Communication Networks. The …