Author pages are created from data sourced from our academic publisher partnerships and public sources.
Share This Author
Variational Pretraining for Semi-supervised Text Classification
VAMPIRE is introduced, a lightweight pretraining framework for effective text classification when data and computing resources are limited and it is found that fine-tuning to in-domain data is crucial to achieving decent performance from contextual embeddings when working with limited supervision. Expand