NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

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The Neural Discriminative Dimensionality Reduction layer is simple and effective, which is constructed by combining existing Convolutional Neural Network components in a novel way

Abstract:

In this paper, we propose a novel Convolutional Neural Network (CNN) structure for general-purpose multi-task learning (MTL), which enables automatic feature fusing at every layer from different tasks. This is in contrast with the most widely used MTL CNN structures which empirically or heuristically share features on some specific laye...More

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