DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems
Vincent Gripon,
Carlos Lassance,
Ghouthi Boukli Hacene
Abstract:Learning deep representations to solve complex machine learning tasks has become the prominent trend in the past few years. Indeed, Deep Neural Networks are now the golden standard in domains as various as computer vision, natural language processing or even playing combinatorial games. However, problematic limitations are hidden behind this surprising universal capability. Among other things, explainability of the decisions is a major concern, especially since deep neural networks are made up of a very large … Show more
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