2021.10.18 Neural papers

10-13-2021	A Time Encoding approach to training Spiking Neural Networks by Karen Adam
10-14-2021	The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization by Róbert Csordás et al
10-12-2021	Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design by Iván Negrin et al
10-13-2021	Detecting Modularity in Deep Neural Networks by Shlomi Hod et al
10-15-2021	Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization by Songbai Liu et al
10-12-2021	Expressivity and Trainability of Quadratic Networks by Feng-Lei Fan et al
10-15-2021	Design Technology Co-Optimization for Neuromorphic Computing by Ankita Paul et al
10-15-2021	Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity by Jørgen Jensen Farner et al
10-15-2021	The Power of Many: A Physarum Swarm Steiner Tree Algorithm by Sheryl Hsu et al
10-15-2021	Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation by Victor Villin et al