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Dear Reddit-ML community,
At the ICML 2019 Workshop Deep Phenomena workshop, we presented our initial results addressing the question:
Do deep neural networks learn shallow learnable examples first?
In case you have addressed this question from different perspectives or have any feedback in this regard, we’d love to hear these!
Here are the pertinent links: (We’ll be updating the repo shortly with more results)
[Video] https://youtu.be/aXB7PbJ8osQ
[Code] https://github.com/karttikeya/Shallow_to_Deep/
[ Paper] https://openreview.net/forum?id=HkxHv4rn24
submitted by /u/VinayUPrabhu
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