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by NicolasPapernot on 2019-05-08 (UTC).

In addition to reducing the need for labeled data, developments in semi-supervised learning have made it easier to learn with differential privacy using PATE: @D_Berthelot_ML's MixMatch approach to semi-supervised learning significantly improves the state-of-the-art https://t.co/SxkEQPQSLj

— Nicolas Papernot (@NicolasPapernot) May 8, 2019
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by D_Berthelot_ML on 2019-05-15 (UTC).

MixMatch (https://t.co/kfMnrJ4jBN) code is released https://t.co/M4Yx2mU2lp (Python3, TensorFlow 1.1x). Let me know how it works for you and also let me know if you port it to other frameworks.

— David Berthelot (@D_Berthelot_ML) May 15, 2019
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