papers
Publications (10)
cs.CV2018
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks
Audrey Chung, Paul Fieguth, Alexander Wong
cs.NE2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
Audrey G. Chung, Paul Fieguth, Alexander Wong
cs.CV2019
Assessing Architectural Similarity in Populations of Deep Neural Networks
Audrey Chung, Paul Fieguth, Alexander Wong
cs.LG2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth +1
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
cs.CV2015
Domain Adaptation and Transfer Learning in StochasticNets
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth +1
cs.CV2018
Texture Classification in Extreme Scale Variations using GANet
Li Liu, Jie Chen, Guoying Zhao +3
cs.CV2015
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields
Mohammad Javad Shafiee, Alexander Wong, Paul Fieguth
cs.CV2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
Xiaodan Hu, Audrey G. Chung, Paul Fieguth +3
cs.CV2018
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Li Liu, Jie Chen, Paul Fieguth +3