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ResVGAE: Going Deeper with Residual Modules for Link Prediction
We show that our multiple residual modules, a convolutional layer with residual connection, improve the average precision of the graph autoencoders.
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
One of the most efficient methods for model compression is hint distillation, where the student model is injected with information (hints) from several different layers of the teacher model.
Gaussian Three-Dimensional kernel SVM for Edge Detection Applications
This paper presents a novel and uniform algorithm for edge detection based on SVM (support vector machine) with Three-dimensional Gaussian radial basis function with kernel.
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