Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations

Disentangled representation learning is a powerful paradigm for robust attribute prediction.

Disentangled representation learning is a powerful paradigm for robust attribute prediction. While recent methods address attribute correlations, hidden correlations remain underexplored, where data under the value of a certain attribute exhibit underlying modes correlated with…