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cs.LG2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement
Yivan Zhang, Masashi Sugiyama
Disentangling the factors of variation in data is a fundamental concept in machine learning and has been studied in various ways by different researchers, leading to a multitude of…
cs.LG2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Yivan Zhang, Masashi Sugiyama
Disentangling the explanatory factors in complex data is a promising approach for generalizable and data-efficient representation learning. While a variety of quantitative metrics…