2020.11.30 Neural papers

11-26-2020	Better Knowledge Retention through Metric Learning by Ke Li et al
11-24-2020	Efficient Sampling for Predictor-Based Neural Architecture Search by Lukas Mauch et al
11-27-2020	Multi-objective Neural Architecture Search with Almost No Training by Shengran Hu et al
11-26-2020	Physics-Informed Neural State Space Models via Learning and Evolution by Elliott Skomski et al
11-26-2020	Spectral Analysis and Stability of Deep Neural Dynamics by Jan Drgona et al
11-24-2020	Hyper parameter estimation method with particle swarm optimization by Yaru Li et al
11-27-2020	Representation of 2D frame less visual space as a neural manifold and its information geometric interpretation by Debasis Mazumdar
11-27-2020	A Temporal Neural Network Architecture for Online Learning by James E. Smith
11-24-2020	A More Biologically Plausible Local Learning Rule for ANNs by Shashi Kant Gupta
11-26-2020	Estimator Model for Prediction of Power Output of Wave Farms Using Machine Learning Methods by Bhavana Burramukku