Understand
Ensembles are a popular way to improve results of discriminative CNNs.
- The combination of several networks trained starting from different initializations improves results significantly.
- In this paper we investigate the usage of ensembles of GANs.
- The specific nature of GANs opens up several new ways to construct ensembles.
Built on
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P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Then
Unsupervised learning of visual representations using videos
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Later among the works it cites.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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Improved techniques for training gans
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