Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient

ICLR 2020 Anonymous

Determinantal point processes (DPPs) is an effective tool to deliver diversity on multiple machine learning and computer vision tasks. Under deep learning framework, DPP is typically optimized via approximation, which is not straightforward and has some conflict with diversity requirement... (read more)

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