Abstract: Supervised contrastive learning (SupCon) has proven to be a powerful alternative to the standard cross-entropy loss for classification of multi-class balanced datasets. However, it struggles ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback