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. Author manuscript; available in PMC: 2020 Sep 16.
Published in final edited form as: Proc AAAI Conf Artif Intell. 2020 Feb;34(4):3495–3502. doi: 10.1609/aaai.v34i04.5754

Table 2:

MIG metrics on the held-out data

Dataset d (u) Proposed VAE β-VAE Factor-VAE TCVAE DSD
MNIST 2 0.68 0.01 0.03 0.33 0.04 0.01
Fashion-MNIST 2 0.52 0.11 0.28 0.36 0.19 0.01
Yale Faces 1 0.42 0.02 0.07 0.06 0.29 N/A
3D chairs 2 0.37 0.02 0.15 0.11 0.08 N/A
3D cars 2 0.41 0.02 0.22 0.15 0.16 N/A

DSD is designed for analyzing binary similarities, and cannot analyze real-valued similarities.