ProtoAttend: Attention-Based Prototypical Learning

17 Feb 2019 Sercan O. Arik Tomas Pfister

We propose a novel inherently interpretable machine learning method that bases decisions on few relevant examples that we call prototypes. Our method, ProtoAttend, can be integrated into a wide range of neural network architectures including pre-trained models... (read more)

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Interpretability
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