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Found 2 papers, 1 papers with code
Learning representations by forward-propagating errors
Back-propagation (BP) is widely used learning algorithm for neural network optimization.
Barcode Method for Generative Model Evaluation driven by Topological Data Analysis
Recent methods such as precision-and-recall and its variants such as density-and-coverage have been developed to separate fidelity and diversity based on k-nearest neighborhood methods.
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