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Been Kim: Interpretable Machine Learning
The Gradient: Perspectives on AI
Sanity Check for a Sanity and C Map Paper
In the Sanity Check for a Sanity and C map paper, we show that explanations from these two networks are visually indistinguishable to humans. The activations I see between the random network and the train network, which as you said, brings in trouble. There's so many dimensions along which I might need to stress test a piece of code. And if I miss any one of those, I kind of risk putting a product or a piece of software out there that just fails in particular instances.
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