Transfer Learning (TL):
The ability of a system to recognize and apply knowledge and skills learned in previous tasks to novel tasks (in new domains)
Why Transfer Learning?
In some domains, labeled data are in short supply.
In some domains, the calibration effort is very expensive.
In some domains, the learning process is time consuming.
How to extract knowledge learnt from related domains to help learning in a target domain with a few labeled data?
How to extract knowledge learnt from related domains to speed up learning in a target domain?
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