Semi-Supervised Learning
Supervised Research Exposition - Prof. Amit Sethi
Supervised Research Exposition | Prof. Amit Sethi, Dept. of Electrical Engineering, IIT Bombay
- Compared the Semi-Supervised Learning methods of Ladder Networks, Pi Model and Mean teacher and implemented the Mean Teacher SSL method on the NIH-Chest X-ray dataset using a pretrained DenseNet121
- Achieved a AUC score of 0.76 using only 10% labelled data as compared to the 0.81 AUC of the baseline