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Can I minimize a mysterious function by running a gradient descent on her neural net approximations?
Yes, this is a standard approach. An improvement is to do gradient descent on $F$ (not $F_1$), but use the gradient of $F_1$ as your estimate for the gradient of $F$. In other words, when you ...
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1
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Can I minimize a mysterious function by running a gradient descent on her neural net approximations?
I do not know any specific name for this method, but it is a common approach for approximating and optimizing complex functions. You can find an industrial use-case of this approach in this paper (...
- 1,683
1
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Accepted
Is there any work done on topic agnostic binary topic classification?
I realized the problem can be solved as such:
Given a target text and a list of keywords, embed both using a sentence embedding model (such as MiniLM-L6-v2 from HuggingFace). The embeddings can then ...
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