Deep Reinforcement Learning for Multi-class Imbalanced Training

1 code implementation • 24 May 2022 • Jenny Yang, Rasheed el-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David A. Clifton

With the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced.

Deep Reinforcement Learning imbalanced classification +3

Privacy-aware Early Detection of COVID-19 through Adversarial Training

no code implementations • 9 Jan 2022 • Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David Clifton

One of our main contributions is that we specifically target the development of effective COVID-19 detection models with built-in mechanisms in order to selectively protect sensitive attributes against adversarial attacks.