2021.5.17 Neural papers

05-13-2021	HeunNet: Extending ResNet using Heuns Methods by Mehrdad Maleki et al
05-14-2021	Quantifying the Impact of Boundary Constraint Handling Methods on Differential Evolution by Rick Boks et al
05-14-2021	Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms by James Fitzgerald et al
05-14-2021	Efficient Spiking Neural Networks with Radix Encoding by Zhehui Wang et al
05-13-2021	Negative Selection Algorithm Research and Applications in the last decade: A Review by Kishor Datta Gupta et al
05-12-2021	Directional GAN: A Novel Conditioning Strategy for Generative Networks by Shradha Agrawal et al
05-14-2021	Verification of Size Invariance in DNN Activations using Concept Embeddings by Gesina Schwalbe
05-11-2021	Pruning of Deep Spiking Neural Networks through Gradient Rewiring by Yanqi Chen et al
05-12-2021	Winograd Algorithm for AdderNet by Wenshuo Li et al
05-12-2021	Dynamical Isometry: The Missing Ingredient for Neural Network Pruning by Huan Wang et al
05-11-2021	Two novel feature selection algorithms based on crowding distance by Abdesslem Layeb
05-12-2021	Exploring the Similarity of Representations in Model-Agnostic Meta-Learning by Thomas Goerttler et al
05-13-2021	SpikeMS: Deep Spiking Neural Network for Motion Segmentation by Chethan M. Parameshwara et al
05-11-2021	A Hybrid Decomposition-based Multi-objective Evolutionary Algorithm for the Multi-Point Dynamic Aggregation Problem by Guanqiang Gao et al
05-12-2021	The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs by Christopher Morris et al