Disentangled representation is an unsupervised learning technique that breaks down, or disentangles, each feature into separate, lower dimension variables.

Debajyati Dey

Data Science

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Disentangled representation learning is the process of capturing individual factors of variation in data separately. It helps in understanding complex data and improving model interpretability, generalization, and performance.

Disentangled Representation Learning

Approaches to Disentangled Representation Learning

Challenges in Disentangled Representation Learning

Applications of Disentangled Representation Learning