2021.12.20 Neural papers

12-16-2021	Learning Interpretable Models Through Multi-Objective Neural Architecture Search by Zachariah Carmichael et al
12-15-2021	Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations by Carlo Marcati et al
12-14-2021	On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation by Binxu Wang et al
12-15-2021	A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations by Tejas Y. Deo et al
12-15-2021	OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms by Leila Zahedi et al
12-16-2021	Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding by Alejandro Morales-Hernández et al
12-15-2021	Advancing Residual Learning towards Powerful Deep Spiking Neural Networks by Yifan Hu et al
12-15-2021	A First Mathematical Runtime Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) by Weijie Zheng et al
12-15-2021	Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning by Thomas Miconi
12-14-2021	Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification by Ji-Seon Bang et al
12-15-2021	Planning with Biological Neurons and Synapses by Francesco d'Amore et al
12-16-2021	On the Use of Quality Diversity Algorithms for The Traveling Thief Problem by Adel Nikfarjam et al
12-14-2021	Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems by Hirad Assimi et al