A multimodal generative model replaces Gaussians with t-distributions and uses gamma-power divergence to improve semi-supervised classification performance on imbalanced partially labeled data.
Multimodal generative models for compositional representation learning
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Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
A multimodal generative model replaces Gaussians with t-distributions and uses gamma-power divergence to improve semi-supervised classification performance on imbalanced partially labeled data.