2020.3.8 Neural papers

03-06-2020	Finding online neural update rules by learning to remember by Karol Gregor
03-04-2020	Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning by Christopher H. Bennett et al
03-03-2020	A Metric for Evaluating Neural Input Representation in Supervised Learning Networks by Richard R Carrillo et al
03-03-2020	Deep Learning in Memristive Nanowire Networks by Jack D. Kendall et al
03-06-2020	Learning the Designers Preferences to Drive Evolution by Alberto Alvarez et al
03-03-2020	VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model by Francisco Naveros et al
03-04-2020	QED: using Quality-Environment-Diversity to evolve resilient robot swarms by David M. Bossens et al
03-05-2020	Minimal spiking neuron for solving multi-label classification tasks by Jakub Fil et al
03-04-2020	Optimal Regularization Can Mitigate Double Descent by Preetum Nakkiran et al
03-05-2020	Event-Based Angular Velocity Regression with Spiking Networks by Mathias Gehrig et al
03-05-2020	Adaptive Verifiability-Driven Strategy for Evolutionary Approximation of Arithmetic Circuits by Milan Ceska et al
03-04-2020	On Hyper-parameter Tuning for Stochastic Optimization Algorithms by Haotian Zhang et al
03-03-2020	Embodied Synaptic Plasticity with Online Reinforcement learning by Jacques Kaiser et al
03-06-2020	Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs by J. J. Hagenaars et al
03-03-2020	Scaling MAP-Elites to Deep Neuroevolution by Cédric Colas et al
03-03-2020	ADWPNAS: Architecture-Driven Weight Prediction for Neural Architecture Search by XuZhang et al
03-03-2020	Exploring vestibulo-ocular adaptation in a closed-loop neuro-robotic experiment using STDP. A simulation study by Francisco Naveros et al
03-03-2020	CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution by Ziling Wu et al
03-05-2020	Talking-Heads Attention by Noam Shazeer et al