71 citations · 209 across the 28 of their papers we have counts for
7 papers · 1 filter
State of Compact Architecture Search For Deep Neural Networks
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li +2
The design of compact deep neural networks is a crucial task to enable widespread adoption of deep neural networks in the real-world, particularly for edge and mobile scenarios. Du…
Dynamic Representations Toward Efficient Inference on Deep Neural Networks by Decision Gates
Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong
While deep neural networks extract rich features from the input data, the current trade-off between depth and computational cost makes it difficult to adopt deep neural networks fo…
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl +1
The tremendous potential exhibited by deep learning is often offset by architectural and computational complexity, making widespread deployment a challenge for edge scenarios such…
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
Mohammad Javad Shafiee, Francis Li, Brendan Chwyl +1
While deep neural networks have been shown in recent years to outperform other machine learning methods in a wide range of applications, one of the biggest challenges with enabling…
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…
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks
Mohammad Javad Shafiee, Francis Li, Alexander Wong
A key contributing factor to incredible success of deep neural networks has been the significant rise on massively parallel computing devices allowing researchers to greatly increa…