2021.4.26 Neural papers

04-22-2021	Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis by Alexander Hadjiivanov
04-22-2021	Synchronization of Tree Parity Machines using non-binary input vectors by Miłosz Stypiński et al
04-20-2021	Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences by Chao Qian et al
04-20-2021	The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks by Oleg Nikitin et al
04-22-2021	Noise-Robust Deep Spiking Neural Networks with Temporal Information by Seongsik Park et al
04-22-2021	Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images by Rohan Wadhawan et al
04-20-2021	BraidNet: procedural generation of neural networks for image classification problems using braid theory by Olga Lukyanova et al
04-22-2021	Constructing a personalized learning path using genetic algorithms approach by Lumbardh Elshani et al
04-23-2021	Learning in Deep Neural Networks Using a Biologically Inspired Optimizer by Giorgia Dellaferrera et al
04-20-2021	CoDR: Computation and Data Reuse Aware CNN Accelerator by Alireza Khadem et al
04-23-2021	Robust Federated Learning by Mixture of Experts by Saeedeh Parsaeefard et al
04-20-2021	Crystal structure prediction of materials with high symmetry using differential evolution by Wenhui Yang et al
04-20-2021	Exploring Evolved Multicellular Life Histories in a Open-Ended Digital Evolution System by Matthew Andres Moreno et al
04-22-2021	cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization by P. A. Grudniewski et al
04-22-2021	Personalizing Performance Regression Models to Black-Box Optimization Problems by Tome Eftimov et al
04-21-2021	Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning by Haowen Fang et al
04-23-2021	A modularity comparison of Long Short-Term Memory and Morphognosis neural networks by Thomas E. Portegys
04-20-2021	Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework by Ryoji Tanabe