150 citations · 187 across the 24 of their papers we have counts for
4 papers · 1 filter
Machine Learning under Imperfect Data: Challenges and Methods
Masoumeh Zareapoor
Machine-learning models are commonly developed under an assumption that training and test data are sufficiently complete, balanced, labelled, and drawn from compatible distribution…
Task Switching Without Forgetting via Proximal Decoupling
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +2
In continual learning, the primary challenge is to learn new information without forgetting old knowledge. A common solution addresses this trade-off through regularization, penali…
Finding Structure in Continual Learning
Pourya Shamsolmoali, Masoumeh Zareapoor
Learning from a stream of tasks usually pits plasticity against stability: acquiring new knowledge often causes catastrophic forgetting of past information. Most methods address th…
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali, Masoumeh Zareapoor, Linlin Shen +2
The fact that image datasets are often imbalanced poses an intense challenge for deep learning techniques. In this paper, we propose a method to restore the balance in imbalanced i…