2020.11.28 Neural papers

11-23-2021	Reviewing continual learning from the perspective of human-level intelligence by Yifan Chang et al
11-25-2021	On the Difficulty of Evolving Permutation Codes by Luca Mariot et al
11-24-2021	Information Bottleneck-Based Hebbian Learning Rule Naturally Ties Working Memory and Synaptic Updates by Kyle Daruwalla et al
11-25-2021	Ranking by Momentum based on Pareto ordering of entities by Tomasz Imielinski
11-24-2021	A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings by Ivo Bukovsky et al
11-26-2021	Testability-Aware Low Power Controller Design with Evolutionary Learning by Min Li et al
11-24-2021	Deep metric learning improves lab of origin prediction of genetically engineered plasmids by Igor M. Soares et al
11-23-2021	Asteroid Flyby Cycler Trajectory Design Using Deep Neural Networks by Naoya Ozaki et al
11-25-2021	Deriving Smaller Orthogonal Arrays from Bigger Ones with Genetic Algorithm by Luca Mariot
11-23-2021	Design of Many-Core Big Little \mu Brain for Energy-Efficient Embedded Neuromorphic Computing by M. Lakshmi Varshika et al
11-26-2021	Optimal Technical Indicator-based Trading Strategies Using NSGA-II by P. Shanmukh Kali Prasad et al