Sampling for Deep Learning Model Diagnosis (Technical Report)
Deep learning (DL) models have achieved paradigm-changing performance in many fields with high dimensional data, such as images, audio, and text. However, the black-box nature of deep neural networks is a barrier not just to adoption in applications such as medical diagnosis, where interpretability is essential, but also impedes diagnosis of under performing models... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Interpretability
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Image Models |