1 code implementation • 27 Apr 2022 • Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei
In Federated Learning (FL), a number of clients or devices collaborate to train a model without sharing their data.
no code implementations • 2 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.
no code implementations • 25 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.
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.