2021.8.2 Neural papers

07-28-2021	Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes by Carlos Lordelo et al
07-28-2021	Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers by Piper Wolters et al
07-27-2021	Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey by Marko Đurasević et al
07-27-2021	Predictive Coding: a Theoretical and Experimental Review by Beren Millidge et al
07-27-2021	Homogeneous Architecture Augmentation for Neural Predictor by Yuqiao Liu et al
07-29-2021	Quasi-genetic algorithms and continuation Newton methods with deflation techniques for global optimization problems by Xin-long Luo et al
07-29-2021	Contemporary Symbolic Regression Methods and their Relative Performance by William La Cava et al
07-27-2021	Experiments on Properties of Hidden Structures of Sparse Neural Networks by Julian Stier et al
07-29-2021	Fine-Grained Classroom Activity Detection from Audio with Neural Networks by Eric Slyman et al
07-28-2021	Automated Design of Heuristics for the Container Relocation Problem by Mrko Đurasević et al
07-28-2021	The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation by Nicolas Valenchon et al
07-27-2021	Neuromorphic scaling advantages for energy-efficient random walk computation by J. Darby Smith et al
07-27-2021	Deep Variational Models for Collaborative Filtering-based Recommender Systems by Jesús Bobadilla et al