Machine-Learned Models for User Interface Prediction, Generation, and Interaction Understanding

Machine-Learned Models for User Interface Prediction, Generation, and Interaction Understanding

Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained usin...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wichers, Nevan Holt, Zang, Xiaoxue, He, Zecheng, Sunkara, Srinivas Kumar, Chen, Jindong, Schubiner, Gabriel Overholt, Aguera-Arcas, Blaise, Rastogi, Abhinav Kumar, Liu, Lijuan, Xu, Ying
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Beschreibung
Zusammenfassung:Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).