2021.5.31 Neural papers

05-25-2021	Scaling Properties of Deep Residual Networks by Alain-Sam Cohen et al
05-28-2021	Fragmentation; a Tool for Finding Information, Encryption and Data Flow in Systems by Douglas Kirkpatrick et al
05-25-2021	The Nonlinearity Coefficient -- A Practical Guide to Neural Architecture Design by George Philipp
05-25-2021	Optimal Transport Based Refinement of Physics-Informed Neural Networks by Vaishnav Tadiparthi et al
05-25-2021	DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications by Tao Luo et al
05-27-2021	A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks by Harideep Nair et al
05-27-2021	Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems by Jian Yang et al
05-26-2021	On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future by Unai Garciarena et al
05-26-2021	HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing by Rahul Thapa et al
05-25-2021	Graph Based Link Prediction between Human Phenotypes and Genes by Rushabh Patel et al
05-27-2021	Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics by Jian Yang et al
05-26-2021	Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem by Jakob Bossek et al
05-27-2021	Artificial life: sustainable self-replicating systems by Carlos Gershenson et al
05-27-2021	BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons by Dongcheng Zhao et al
05-26-2021	ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-DRAM CNN Processing by Supreeth Mysore Shivanandamurthy et al
05-26-2021	Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks by Khaled Koutini et al
05-27-2021	Optimization Induced Equilibrium Networks by Xingyu Xie et al
05-26-2021	BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons by Yang Li et al
05-25-2021	Evolutionary Algorithms for Designing Reversible Cellular Automata by Luca Mariot et al
05-27-2021	TENSILE: A Tensor granularity dynamic GPU memory scheduler method towards multiple dynamic workloads system by Kaixin Zhang et al
05-27-2021	Hybrid Encoding For Generating Large Scale Game Level Patterns With Local Variations Using a GAN by Jacob Schrum et al
05-25-2021	From Motor Control to Team Play in Simulated Humanoid Football by Siqi Liu et al
05-25-2021	Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks by Jianhao Ding et al