2021.3.29 Neural papers

03-26-2021	A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations by Aymeric Vie
03-26-2021	Evolutionary Strategies with Analogy Partitions in p-guessing Games by Aymeric Vie
03-24-2021	Deepfake Forensics via An Adversarial Game by Zhi Wang et al
03-24-2021	Test-Time Training for Deformable Multi-Scale Image Registration by Wentao Zhu et al
03-25-2021	Recent Advances in Large Margin Learning by Yiwen Guo et al
03-24-2021	Shift-and-Balance Attention by Chunjie Luo et al
03-26-2021	Visionary: Vision architecture discovery for robot learning by Iretiayo Akinola et al
03-26-2021	Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives by Javier Del Ser et al
03-26-2021	RCT: Resource Constrained Training for Edge AI by Tian Huang et al
03-23-2021	Differentiable Agent-Based Simulation for Gradient-Guided Simulation-Based Optimization by Philipp Andelfinger
03-25-2021	Hierarchical Program-Triggered Reinforcement Learning Agents For Automated Driving by Briti Gangopadhyay et al
03-23-2021	Evolving Learning Rate Optimizers for Deep Neural Networks by Pedro Carvalho et al
03-23-2021	GA-SVM for Evaluating Heroin Consumption Risk by Sean-Kelly Palicki et al