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Machine Learning Paper Discussion Group

In the Paper Discussion Group (PDG) we discuss on a weekly base recent and fundamental papers in the area of machine learning. For several weeks, we follow one track to dive a bit deeper into a topic by reading matching or correlate papers. If you are interested, read the paper and join us.

Track: Open
Topic: Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Paper: https://arxiv.org/abs/1904.00760

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