2019.12.01 Neural papers

11-29-2019	X-Ray Sobolev Variational Auto-Encoders by Gabriel Turinici
11-28-2019	Continuous Dropout by Xu Shen et al
11-27-2019	Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors by Baogang Zhang et al
11-29-2019	A spiking neural algorithm for the Network Flow problem by Abdullahi Ali et al
11-27-2019	Android Botnet Detection using Convolutional Neural Networks by Sina Hojjatinia et al
11-26-2019	Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks by Siavash Golkar
11-29-2019	Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation by Bryar A. Hassan Tarik A. Rashid
11-27-2019	QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning by Samuel Bosch et al
11-29-2019	Blockwisely Supervised Neural Architecture Search with Knowledge Distillation by Changlin Li et al
11-27-2019	Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory by Julien Herrmann et al
11-26-2019	Single Headed Attention RNN: Stop Thinking With Your Head by Stephen Merity
11-28-2019	Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation by George De Ath et al