Stacked Approximated Regression Machine: A Simple Deep Learning Approach - 5 views
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Dario Izzo on 05 Sep 16from one of the reddit threads discussing this: "bit fishy, crazy if real". "Incredible claims: - Train only using about 10% of imagenet-12, i.e. around 120k images (i.e. they use 6k images per arm) - get to the same or better accuracy as the equivalent VGG net - Training is not via backprop but more simpler PCA + Sparsity regime (see section 4.1), shouldn't take more than 10 hours just on CPU probably "
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Paul N on 13 Sep 16clicking the link says the manuscript was withdrawn :))
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johannessimon81 on 15 Sep 16This "one-shot learning" paper by Googe Deepmind also claims to be able to learn from very few training data. Thought it might be interesting for you guys: https://arxiv.org/pdf/1605.06065v1.pdf