2020.9.14 Neural papers

09-10-2020	Understanding the Role of Individual Units in a Deep Neural Network by David Bau et al
09-11-2020	Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain by Beren Millidge et al
09-13-2020	Extracting Optimal Solution Manifolds using Constrained Neural Optimization by Gurpreet Singh et al
09-14-2020	Adaptive Convolution Kernel for Artificial Neural Networks by F. Boray Tek et al
09-14-2020	A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research by Cody Watson et al
09-14-2020	Reservoir Memory Machines as Neural Computers by Benjamin Paaßen et al
09-14-2020	Risk Bounds for Robust Deep Learning by Johannes Lederer
09-13-2020	AutoML for Multilayer Perceptron and FPGA Co-design by Philip Colangelo et al
09-13-2020	Simple Simultaneous Ensemble Learning in Genetic Programming by Marco Virgolin
09-12-2020	EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks by Qianwen Ye et al
09-12-2020	Iterative beam search algorithms for the permutation flowshop by Luc Libralesso et al
09-10-2020	IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning by Yuxi Huan et al
09-11-2020	P-CRITICAL: A Reservoir Autoregulation Plasticity Rule for Neuromorphic Hardware by Ismael Balafrej et al