Search Results for author: Farshid Varno

Found 4 papers, 1 papers with code

Learn Faster and Forget Slower via Fast and Stable Task Adaptation

no code implementations2 Jul 2020 Farshid Varno, Lucas May Petry, Lisa Di Jorio, Stan Matwin

We empirically show that compared to prevailing fine-tuning practices, FAST learns the target task faster and forgets the source task slower.

Transfer Learning

Efficient Neural Task Adaptation by Maximum Entropy Initialization

no code implementations25 May 2019 Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di Jorio, Stan Matwin

Transferring knowledge from one neural network to another has been shown to be helpful for learning tasks with few training examples.

Transfer Learning

Learning to Learn with Conditional Class Dependencies

no code implementations ICLR 2019 Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin

Neural networks can learn to extract statistical properties from data, but they seldom make use of structured information from the label space to help representation learning.

Few-Shot Learning Representation Learning

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