Wednesday, October 28, 2020
Transfer learning enables leveraging knowledge acquired from related data to improve performance on a target task. It has become a new paradigm in NLP and new state of the art results on many NLP tasks have been achieved.
In this session we'll learn the different types of transfer learning, the architecture of these pre-trained language models, and how different transfer learning techniques can be used to solve various NLP tasks. In addition, we’ll also show a variety of applications that leverage transfer learning and the pre-trained language models.
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