Self-Supervised Learning

BigBiGAN

Introduced by Donahue et al. in Large Scale Adversarial Representation Learning

BigBiGAN is a type of BiGAN with a BigGAN image generator. The authors initially used ResNet as a baseline for the encoder $\mathcal{E}$ followed by a 4-layer MLP with skip connections, but they experimented with RevNets and found they outperformed with increased network width, so opted for this type of encoder for the final architecture.

Source: Large Scale Adversarial Representation Learning

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