Zero-shot Learning Deep Dive: How to Select One and Present-day Challenges

Author(s): Anil Tilbe

Originally published on Towards AI.

How to build the learning into a zero-shot classifier with just a few hundred labeled instances per class?

First, we have to clarify at a high level the difference between zero-shot learning and deep learning, as I have seen too much confusion regarding the two:

By Miikka Luotio from Unsplash

With those two down, four to go in more detail: let us unpack further — this time, zero-shot learning, deep learning, unsupervised learning, and supervised learning (all contextual as to the definitions coming up with regards to zero-shot learning):

Zero-shot learning combines the observed and unobserved categories into a shared space where the two can be observed and labeled together. The categorization implementation is done through learning a joint embedding space… Read the full blog for free on Medium.

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Published via Towards AI