C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder

Neural Information Processing Systems 

Representation learning assumes that real-world data is generated by a few semantically meaningful generative factors (i.e., sources of variation) and aims to

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