Amazon Technologies, Inc.

Tal Neiman

Ismail Baha Tutar

Tarik Arici

Mehmet Saygin Seyfioglu

Systems and methods for improving training processes for image and text applications are described. A first set of embeddings may be generated based on a text input, and a second set of embeddings may be generated via a convolutional neural network (CNN), based on an input image. The first set of embeddings and the second set of embeddings may be utilized to generate a third set of embeddings including one or more placeholder values to be replaced. The placeholder values may be replaced based on predicted values, to reconstruct the input text and image.

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Brooklyn, NY, United States of America

Tal Neiman