Contrastive loss functions

Experiments with different contrastive loss functions to see if they help supervised learning.

For detailed reviews and intuitions, please check out those posts:

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
.gitignore		.gitignore
1_max_margin_contrastive_loss_vs_baseline.ipynb		1_max_margin_contrastive_loss_vs_baseline.ipynb
2_comparing_contrastive_losses.ipynb		2_comparing_contrastive_losses.ipynb
Main_contrast_loss-regression.ipynb		Main_contrast_loss-regression.ipynb
Plot_learning_curves.ipynb		Plot_learning_curves.ipynb
README.ipynb		README.ipynb
README.md		README.md
lars_optimizer.py		lars_optimizer.py
losses.py		losses.py
main.py		main.py
main_ce_baseline.py		main_ce_baseline.py
model.py		model.py
requirements.txt		requirements.txt
supcontrast.py		supcontrast.py
test_supcontrast_loss.py		test_supcontrast_loss.py

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