Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks

14 June 2016

Papers citing "Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks"

5 / 5 papers shown

Title
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge Xiaoyue Wen M. Famouri Andrew Hryniowski Alexander Wong SSeg 13 7 0 29 Apr 2021
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
Assessing Architectural Similarity in Populations of Deep Neural Networks A. Chung Paul Fieguth A. Wong 17 1 0 19 Apr 2019
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks M. Shafiee Brendan Chwyl Francis Li Rongyan Chen Michelle Karg C. Scharfenberger A. Wong 11 7 0 16 Jan 2018
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis A. Chung M. Shafiee Paul Fieguth A. Wong 29 4 0 07 Sep 2017