Bibliography (5):

1. Contrastive Representation Learning: A Framework and Review

2. ImageNet Large Scale Visual Recognition Challenge

3. Deep Residual Learning for Image Recognition

4. PAWS: Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples

5. Wikipedia Bibliography:

   1. Data augmentation