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• W2935779734 abstract "Deep neural decision forest (NDF) achieved remarkable performance on various vision tasks via combining decision tree and deep representation learning. In this work, we first trace the decision-making process of this model and visualize saliency maps to understand which portion of the input influence it more for both classification and regression problems. We then apply NDF on a multi-task coordinate regression problem and demonstrate the distribution of routing probabilities, which is vital for interpreting NDF yet not shown for regression problems. The pre-trained model and code for visualization will be available at this https URL" @default.
• W2935779734 created "2019-04-25" @default.
• W2935779734 creator A5007754962 @default.
• W2935779734 creator A5039912975 @default.
• W2935779734 date "2019-04-19" @default.
• W2935779734 modified "2023-09-26" @default.
• W2935779734 title "Visualizing the decision-making process in deep neural decision forest" @default.
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• W2935779734 hasPublicationYear "2019" @default.
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