2019.09.30 Neural papers

09-25-2019	HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling by Kazuki Fujii et al
09-25-2019	Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space by AkshatKumar Nigam et al
09-24-2019	Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network by Timo C. Wunderlich et al
09-24-2019	Direct training based spiking convolutional neural networks for object recognition by Shibo Zhou et al
09-24-2019	Understanding and Improving One-shot Neural Architecture Optimization by Renqian Luo et al
09-24-2019	Reservoir Topology in Deep Echo State Networks by Claudio Gallicchio et al
09-25-2019	The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks by AbdElRahman A. ElSaid et al
09-26-2019	Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks by Patrik Reizinger et al
09-25-2019	A generic framework for task selection driven by synthetic emotions by Claudius Gros
09-26-2019	Towards Explainable Artificial Intelligence by Wojciech Samek et al
09-26-2019	Military Dog Based Optimizer and its Application to Fake Review by Ashish Kumar Tripathi et al
09-25-2019	Function Preserving Projection for Scalable Exploration of High-Dimensional Data by Shusen Liu et al
09-25-2019	Explaining and Interpreting LSTMs by Leila Arras et al