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Deep Meta-Learning Learning To Learn in The Concept Space PDF

10 Pages·2020·English
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by ['chenmantun']| 2020| 10 pages| English

About Deep Meta-Learning Learning To Learn in The Concept Space

This document proposes a deep meta-learning framework to improve few-shot learning. The framework contains three modules: a concept generator that extracts high-level representations from instances, a meta-learner that performs few-shot learning in the concept space, and a concept discriminator that recognizes concepts. Together these modules are trained on related few-shot tasks and large image datasets to learn representations that ease meta-learning. Experiments show this deep meta-learning approach outperforms existing methods on few-shot image recognition tasks.

Detailed Information

Author:['chenmantun']
Publication Year:2020
Pages:10
Language:English
Format:PDF
Price:FREE
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