Reflective-Net: Learning from Explanations

• URL: http://arxiv.org/abs/2011.13986v1
• Date: Fri, 27 Nov 2020 20:40:45 GMT
• Title: Reflective-Net: Learning from Explanations
• Authors: Johannes Schneider and Michalis Vlachos
• Abstract summary: This work provides the first steps toward mimicking this process by capitalizing on the explanations generated based on existing explanation methods, i.e. Grad-CAM. Learning from explanations combined with conventional labeled data yields significant improvements for classification in terms of accuracy and training time.
• Score: 3.6245632117657816
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Humans possess a remarkable capability to make fast, intuitive decisions, but also to self-reflect, i.e., to explain to oneself, and to efficiently learn from explanations by others. This work provides the first steps toward mimicking this process by capitalizing on the explanations generated based on existing explanation methods, i.e. Grad-CAM. Learning from explanations combined with conventional labeled data yields significant improvements for classification in terms of accuracy and training time.

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