17 citations · 43 across the 12 of their papers we have counts for
3 papers · 1 filter
Domain Adaptation and Transfer Learning in StochasticNets
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth +1
Transfer learning is a recent field of machine learning research that aims to resolve the challenge of dealing with insufficient training data in the domain of interest. This is a…
Efficient Deep Feature Learning and Extraction via StochasticNets
Mohammad Javad Shafiee, Parthipan Siva, Paul Fieguth +1
Deep neural networks are a powerful tool for feature learning and extraction given their ability to model high-level abstractions in highly complex data. One area worth exploring i…
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity
Mohammad Javad Shafiee, Parthipan Siva, Alexander Wong
Deep neural networks is a branch in machine learning that has seen a meteoric rise in popularity due to its powerful abilities to represent and model high-level abstractions in hig…