Transfer learning has immense potential and is a commonly required enhancement for existing learning algorithms. Yet, there are certain pertinent issues related to transfer learning that need more research and exploration. Apart from the difficulty of answering the questions of what, when, and how to transfer, negative transfer and transfer bounds present major challenges.
Challenges of transfer learning
Negative transfer
The cases we have discussed so far talk about improvements in target tasks based on knowledge transfer from the source task. There are cases when transfer learning can lead to a drop in performance. Negative transfer refers to scenarios where the transfer of knowledge from the source to the target does not...
