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Learning from different data types is a long-standing goal in machine learning research, as multiple information sources co-occur when describing natural phenomena.
Latent translation: Crossing modalities by bridging generative models
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Learning Factorized Multimodal Representations
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Multimodal Generative Models for Compositional Representation Learning, 2019
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Self-supervised Disentanglement of Modality-specific and Shared Factors Improves Multimodal Generative Models
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