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[D] Meta-learning for fast convergence for training from scratch?

Meta-learning is good for learning new class with <10 samples.And it requires sort of pre-training with similar classes.

Is there good recent works to improve convergence for randomly-initialized networks using meta-learning? Last time I looked into https://ai.google/research/pubs/pub46116/ and rejected work at openreview,
So far results are worse than SGD and Adam. Or maybe ~0.1% faster convergence but consumes ~30% more computations.

submitted by /u/tsauri
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.