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On the DCI Framework for Evaluating Disentangled Representations: Extensions and Connections to Identifiability

In representation learning, a common approach is to seek representations which disentangle the underlying factors of variation. Eastwood & Williams (2018) proposed three metrics for quantifying the quality of such disentangled representations: …