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README.md
@@ -126,8 +126,8 @@ Sharpness-Aware Minimization (SAM) simultaneously minimizes loss value and loss
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In particular, it seeks parameters that lie in neighborhoods having uniformly low loss.
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* SAM paper : [paper](https://arxiv.org/abs/2010.01412)
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-* SAM code : [github](https://github.com/davda54/sam)
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* ASAM paper : [paper](https://arxiv.org/abs/2102.11600)
+* A/SAM code : [github](https://github.com/davda54/sam)
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## Citations
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