SynID: Passport Synthetic Dataset for Presentation Attack Detection
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Fixing Gradient Accumulation
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lysandre, ArthurZ, muellerzr, ydshieh, BenjaminB, pcuenq
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The key takeaway is that gradient accumulation can make training with large effective batch sizes much more practical when GPU memory is limited. The numerical details around loss scaling are especially useful for avoiding subtle training bugs.
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