CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance

no code implementations • 27 Jul 2018 • Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados

We introduce CASED, a novel curriculum sampling algorithm that facilitates the optimization of deep learning segmentation or detection models on data sets with extreme class imbalance.

Lung Nodule Detection Segmentation

Adversarially Learned Mixture Model

no code implementations • 14 Jul 2018 • Andrew Jesson, Cécile Low-Kam, Tanya Nair, Florian Soudan, Florent Chandelier, Nicolas Chapados

The Adversarially Learned Mixture Model (AMM) is a generative model for unsupervised or semi-supervised data clustering.

Clustering