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Curriculum Learning via Transfer Learning by ᴛᴀᴋᴡᴀ ᴋʜᴀʟɪʟ is a document available to read on EtoBox.
What is Curriculum Learning via Transfer Learning about?
This document presents a theoretical investigation of curriculum learning in the context of stochastic gradient descent, particularly focusing on its effectiveness in optimizing convex linear regression loss. The authors prove that the convergence rate improves with the difficulty of training examples and introduce a method for inferring curriculum through transfer learning from a pre-trained network. Empirical results support the theory, showing faster learning rates and improved generalization performance
- Author
- ᴛᴀᴋᴡᴀ ᴋʜᴀʟɪʟ
- Language
- EN