Domain Generalization With Adversarial Feature Learning

AMMUS : A Survey of Transformer-based Pretrained Models …

learned models. Machine learning models require feature engineering which requires domain expertise and it is a time-consuming process too. The evolution of better computer hardware like GPUs and word embeddings like Word2Vec [10] and Glove [11] increased the use of deep learning models like CNN [12] and RNN [13], [14] for building NLP systems.

  Feature, Learning, Domain