- So, here I am now, working on transfer learning, a key sub-field of machine learning that tries to make it label-efficient.
- My current specialization is transfer learning, which studies methods on how to transfer and adapt existing models from previous machine-learning tasks to new tasks.
- I am working specifically on two problems related to transfer learning, i.e. domain adaptation and small sample learning.
- Small sample learning allows for the learning of new tasks from only a few labelled data.
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