Evaluating Lossy Compression Rates of Deep Generative Models
ICML, pp. 4444-4454, 2020.
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Abstract:
The field of deep generative modeling has succeeded in producing astonishingly realistic-seeming images and audio, but quantitative evaluation remains a challenge. Log-likelihood is an appealing metric due to its grounding in statistics and information theory, but it can be challenging to estimate for implicit generative models, and sca...More
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