2020.5.25 Neural papers

05-20-2020	Feature Purification: How Adversarial Training Performs Robust Deep Learning by Zeyuan Allen-Zhu et al
05-19-2020	Investigations on Phoneme-Based End-To-End Speech Recognition by Albert Zeyer et al
05-22-2020	An Introduction to Neural Architecture Search for Convolutional Networks by George Kyriakides et al
05-19-2020	A New Training Pipeline for an Improved Neural Transducer by Albert Zeyer et al
05-21-2020	Conditionally Deep Hybrid Neural Networks Across Edge and Cloud by Yinghan Long et al
05-19-2020	Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search by Mingxiang Chen et al
05-21-2020	Solving a steady-state PDE using spiking networks and neuromorphic hardware by J. Darby Smith et al
05-22-2020	Digital Neural Networks in the Brain: From Mechanisms for Extracting Structure in the World To Self-Structuring the Brain Itself by Alexandre Pitti et al
05-19-2020	In-memory Implementation of On-chip Trainable and Scalable ANN for AI/ML Applications by Abhash Kumar et al
05-22-2020	On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics by M. Kiani
05-19-2020	A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima by Zahid Iqbal et al
05-19-2020	On Restricting Real-Valued Genotypes in Evolutionary Algorithms by Jørgen Nordmoen et al