3 papers
cs.CV2019
Assessing Architectural Similarity in Populations of Deep Neural Networks
Audrey Chung, Paul Fieguth, Alexander Wong
Evolutionary deep intelligence has recently shown great promise for producing small, powerful deep neural network models via the synthesis of increasingly efficient architectures o…
cs.NE2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis
Audrey Chung, Mohammad Javad Shafiee, Paul Fieguth +1
Evolutionary deep intelligence was recently proposed as a method for achieving highly efficient deep neural network architectures over successive generations. Drawing inspiration f…
cs.CV2015
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields
Mohammad Javad Shafiee, Alexander Wong, Paul Fieguth
Random fields have remained a topic of great interest over past decades for the purpose of structured inference, especially for problems such as image segmentation. The local nodal…