2021.7.19 Neural papers

07-15-2021	Preference Incorporation into Many-Objective Optimization: An Outranking-based Ant Colony Algorithm by Gilberto Rivera et al
07-13-2021	Hierarchical Associative Memory by Dmitry Krotov
07-16-2021	MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization by Yongxin Zhang et al
07-16-2021	Controlling Recurrent Neural Networks by Diagonal Conceptors by J. P. de Jong
07-15-2021	Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis by Feng Shi et al
07-15-2021	Adaptable Agent Populations via a Generative Model of Policies by Kenneth Derek et al
07-14-2021	Continuous vs. Discrete Optimization of Deep Neural Networks by Omer Elkabetz et al
07-13-2021	Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers by Patryk Orzechowski et al
07-14-2021	Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation by Ji-Seon Bang et al
07-15-2021	Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy by Nilotpal Sinha et al
07-14-2021	Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain by Martin Svedin et al
07-16-2021	Ranking labs-of-origin for genetically engineered DNA using Metric Learning by I. Muniz et al
07-14-2021	Safer Reinforcement Learning through Transferable Instinct Networks by Djordje Grbic et al
07-14-2021	Resonant Tunnelling Diode Nano-Optoelectronic Spiking Nodes For Neuromorphic Information Processing by Matěj Hejda et al
07-16-2021	Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions by Charles F. Jekel et al
07-13-2021	Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey by Marwan Dhuheir et al