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[R] Learning to learn by Self-Critique

Dear r/MachineLearning friends,

I just wanted to present my latest work to you. We, humans, have the ability to not only learn quickly from a few labelled examples, but we can also adjust our notions in light of new unlabelled data. I found this fascinating and wondered whether meta-learning an intrinsic loss function to do the same in the few-shot learning would, in fact, improve generalization performance. Turns out, it does. Any and all feedback is welcomed. You can be as harsh as you want. You can’t top reviewer #2 anyway.

Regards, Antreas

Paper: https://arxiv.org/abs/1905.10295

Code: Soon to follow (should be up before 29/05/2019)

submitted by /u/AntreasAntoniou
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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.