A computer-implemented method for representation disentanglement is provided. The method includes encoding an input vector into an embedding. The method further includes learning, by a hardware processor, disentangled representations of the input vector including a style embedding and a content embedding by performing sample-based mutual information minimization on the embedding under a Wasserstein distance regularization and a Kullback-Leibler (KL) divergence. The method also includes decoding the style and content embeddings to obtain a reconstructed vector.


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    Titel :

    INFORMATION THEORY GUIDED SEQUENTIAL REPRESENTATION DISENTANGLEMENT AND DATA GENERATION


    Beteiligte:
    MIN RENQIANG (Autor:in) / KADAV ASIM (Autor:in) / GRAF HANS PETER (Autor:in) / HAN LIGONG (Autor:in)

    Erscheinungsdatum :

    02.06.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G10L Analyse oder Synthese von Sprache , SPEECH ANALYSIS OR SYNTHESIS / G06K Erkennen von Daten , RECOGNITION OF DATA



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