Semantic Interpretation for Convolutional Neural Networks: What Makes a Cat a Cat?
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DOI: 10.1002/advs.202204723
Abstract: The interpretability of deep neural networks has attracted increasing attention in recent years, and several methods have been created to interpret the “black box” model. Fundamental limitations remain, however, that impede the pace of understanding… read more here.
Keywords: neural networks; networks makes; convolutional neural; interpretation ... See more keywords
Semantic Interpretation of Top-N Recommendations
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DOI: 10.1109/tkde.2020.3010215
Abstract: Over the years, model-based approaches have shown their effectiveness in computing recommendation lists in different domains and settings. By relying on the computation of latent factors, they can recommend items with a very high level… read more here.
Keywords: recommendation; interpretation; interpretation top; top recommendations ... See more keywords