Information-Theoretic GAN Compression with Variational Energy-based Model

We propose an information-theoretic knowledge distillation approach for the compression of generative adversarial networks, which aims to maximize the mutual information between teacher and student networks via a variational optimization based on an energy-based model. Because the direct computation...

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Hauptverfasser:	Kang, Minsoo, Yoo, Hyewon, Kang, Eunhee, Ki, Sehwan, Lee, Hyong-Euk, Han, Bohyung
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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