Explainability
Activation Maps
Creates visual heatmaps of model activations (e.g., Grad-CAM, Saliency Maps)
3 techniques in this subcategory
3 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Gradient Saliency | Algorithmic | Architecture/neural Networks Requirements/differentiable +1 | Image | Gradient saliency (also known as vanilla gradient saliency) produces visual explanations for image classification models... | ||
| Gradient-weighted Class Activation Mapping | Algorithmic | Architecture/neural Networks/convolutional Requirements/architecture Specific +2 | Image | Grad-CAM creates visual heatmaps showing which regions of an image a convolutional neural network focuses on when making... | ||
| Embedding Bias Analysis | Algorithmic | Architecture/neural Networks Architecture/neural Networks/transformer +3 | Text Image | Embedding bias analysis examines learned representations to identify biases, spurious correlations, and problematic... |
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