Revealing Secrets From Pre-trained Models. (arXiv:2207.09539v1 [cs.CR])

With the growing burden of training deep learning models with large data
sets, transfer-learning has been widely adopted in many emerging deep learning
algorithms. Transformer models such as BERT are the main player in natural
language processing and use transfer-learning as a de facto standard training
method. A few big data companies release pre-trained models that are trained
with a few popular datasets with which end users and researchers fine-tune the
model with their own datasets. Transfer-learning significantly reduces the …

secrets