Triplet Entropy Loss
Triplet Entropy Loss
The Triplet Entropy Loss (TEL) training method aims to leverage both the strengths of Cross Entropy Loss (CEL) and [Triplet loss](https://paperswithcode.com/method/triplet-loss) during the training process, assuming that it would lead to better generalization. The TEL method though does not contain a pre-training step, but trains simultaneously with both CEL and Triplet losses.
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
https://paperswithcode.com/paper/triplet-entropy-loss-improving-the
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems