2022.5.16 Neural papers

05-12-2022	Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating by David Macêdo et al
05-11-2022	Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation by Roberto Gallotta et al
05-10-2022	A High Throughput Generative Vector Autoregression Model for Stochastic Synapses by T. Hennen et al
05-13-2022	A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data by Nassir Mohammad
05-10-2022	Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker by Daniel Casanueva-Morato et al
05-13-2022	Modularity in NEAT Reinforcement Learning Networks by Humphrey Munn et al
05-10-2022	Neural Networks with Different Initialization Methods for Depression Detection by Tianle Yang
05-11-2022	Efficient Antenna Optimization Using a Hybrid of Evolutionary Programing and Particle Swarm Optimization by Ahmad Hoorfar et al
05-13-2022	Embodiment Enables Non-Predictive Ways of Coping with Self-Caused Sensory Stimuli by James Garner et al