Ebay, Incorporated

Dennis Decoste

Robinson Piramuthu

Vignesh Jagadeesh

Wei Di

Zhicheng Yan

Hierarchical branching deep convolutional neural networks (HD-CNNs) improve existing convolutional neural network (CNN) technology. In a HD-CNN, classes that can be easily distinguished are classified in a higher layer coarse category CNN, while the most difficult classifications are done on lower layer fine category CNNs. Multinomial logistic loss and a novel temporal sparsity penalty may be used in HD-CNN training. The use of multinomial logistic loss and a temporal sparsity penalty causes each branching component to deal with distinct subsets of categories.

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Palo Alto, CA, United States of America

Dennis Decoste