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For a talk describing this paper, watch my #GTC talkhttps://on-demand.gputechconf.com/gtcdc/2019/video/dc91298-tackling-data-scarcity-and-bias-in-deep-learning/ …
Main slides from the talk. Loss in #DeepLearning made of norm+angular improvement. Angles are better matched for easier examples. Angles are also better when there is better generalization.pic.twitter.com/c9hm2G7DNw
We use human selection frequency annotations collected by @beenwrekt on Imagenet to validate our findings
And thanks to @Anshumali_ for collaborating with @NvidiaAI on this project. He was tagged in the original tweet, but got dropped after that. Sorry about that!
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