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Found 3 papers, 2 papers with code
Consistent Explanations by Contrastive Learning
We show that our method, Contrastive Grad-CAM Consistency (CGC), results in Grad-CAM interpretation heatmaps that are more consistent with human annotations while still achieving comparable classification accuracy.
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Hence, we introduce a self supervised learning algorithm where we use a soft similarity for the negative images rather than a binary distinction between positive and negative pairs.
Fooling Network Interpretation in Image Classification
Deep neural networks have been shown to be fooled rather easily using adversarial attack algorithms.
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