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Found 2 papers, 1 papers with code
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
Existing research often posits spurious features as "easier" to learn than core features in neural network optimization, but the impact of their relative simplicity remains under-explored.
Metastatic Cancer Image Classification Based On Deep Learning Method
Using histopathological images to automatically classify cancer is a difficult task for accurately detecting cancer, especially to identify metastatic cancer in small image patches obtained from larger digital pathology scans.
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