2022.2.21 Neural papers

02-15-2022	Confidence Threshold Neural Diving by Taehyun Yoon
02-17-2022	Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition by Chao-Han Huck Yang et al
02-15-2022	Navigating Local Minima in Quantized Spiking Neural Networks by Jason K. Eshraghian et al
02-15-2022	Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data by Anthony Geglio et al
02-15-2022	Convolutional Network Fabric Pruning With Label Noise by Ilias Benjelloun et al
02-18-2022	Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks by Vahid Partovi Nia et al
02-16-2022	Learning a Single Neuron for Non-monotonic Activation Functions by Lei Wu
02-17-2022	Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition by Eleni Nisioti et al
02-17-2022	Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions by Claude Carlet et al
02-17-2022	A novel HD Computing Algebra: Non-associative superposition of states creating sparse bundles representing order information by Stefan Reimann
02-16-2022	Evolutionary Construction of Perfectly Balanced Boolean Functions by Luca Mariot et al
02-16-2022	Modeling Strong Physically Unclonable Functions with Metaheuristics by Carlos Coello Coello et al
02-17-2022	Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review by Phu Khanh Huynh et al