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Found 2 papers, 1 papers with code
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
Promising methods for discovering learned features are based on analyzing activation values, whereby current techniques focus on analyzing high activation values to reveal interesting features on a neuron level.
Classifying the classifier: dissecting the weight space of neural networks
of neural network classifiers, and train a large number of models to represent the weight space.
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