A classification model trained with <a href='https://arxiv.org/abs/2004.11362' target='_blank'>Supervised Contrastive Learning</a> (Prannay Khosla et al.). The training procedure was done as seen in the example on <a href='https://keras.io/examples/vision/supervised-contrastive-learning/' target='_blank'>keras.io</a> by Khalid Salama.

The model was trained on cifar10, which includes ten classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck.

The test accuracy after 50 epochs of the model with contrastive learning was 81.06% (opposed to 79.88% without contrastive learning).