Computer Science - Machine Learning

The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics
The pressing need to reduce the capacity of deep neural networks has stimulated the development of network dilution methods and their …
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Hue-Net: Intensity-based Image-to-Image Translation with Differentiable Histogram Loss Functions
We present the Hue-Net - a novel Deep Learning framework for Intensity-based Image-to-Image Translation. The key idea is a new …
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QANet -- Quality Assurance Network for Image Segmentation
We introduce a novel Deep Learning framework, which quantitatively estimates image segmentation quality without the need for human …
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