Understanding Noise Injection in GANs
Ruili Feng 1 Deli Zhao 2 Zheng-Jun Zha 1
Abstract quantizing neural networks (Baskin et al., 2018). In recent
Noise injection is an effective way of circumvent- years, noise injection1 has attracted more and more atten-
ing overfitting and enhancing generalization in tion in the community of Generative Adversarial Networks
machine learning, the rationale of which has been (GANs) (Good ...


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