research
∙
06/08/2021
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification
Semi-supervised learning has received a lot of recent attention as it al...
share
research
∙
09/30/2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Can one learn to diagnose COVID-19 under extreme minimal supervision? Si...
research
∙
03/13/2020
The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification
We consider the problem of classifying a medical image dataset when we h...
research
∙
01/15/2020
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification
This works addresses the challenge of classification with minimal annota...
research
∙
07/23/2019
GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision
The task of classifying X-ray data is a problem of both theoretical and ...
research
∙
03/14/2019
