In this section, our experiments focus on smallscale datasets and our main baseline model is adversarial autoencoder<cite> (Zhang et al., 2017)</cite> . For justice, we use the same model selection strategy with <cite>Zhang et al. (2017)</cite> , i.e. we choose the model whose sum of reconstruction loss and classification accuracy is the least.