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Is there an attack available for multi-label classification problems? I went through the repo and I could see the self.run ends with ep.crossentropy. However, BCE with logits is required for the above-stated problem. Is there an attack or method which can be over-written to implement this loss?
The text was updated successfully, but these errors were encountered:
Is there an attack available for multi-label classification problems? I went through the repo and I could see the
self.run
ends withep.crossentropy
. However,BCE with logits
is required for the above-stated problem. Is there an attack or method which can be over-written to implement this loss?The text was updated successfully, but these errors were encountered: