Víctor Suárez-Paniagua

Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models

Recently, using large pre-trained Transformer models for transfer learning tasks has evolved to the point where they have become one of the flagship trends in the Natural Language Processing (NLP) community, giving rise to various outlooks such as prompt-based, adapters, or combinations with unsuper…