Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings

One of the key challenges in learning joint embeddings of multiple modalities, e.g. of images and text, is to ensure coherent cross-modal semantics that generalize across datasets. We propose to address this through joint Gaussian regularization of the latent representations. Building on Wasserstein...

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Hauptverfasser:	Mahajan, Shweta, Botschen, Teresa, Gurevych, Iryna, Roth, Stefan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
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