Update README.md

haochenglouis · May 26, 2022 · 32c2a87 · 32c2a87
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-# Demystifying How Self-Supervised Features Improve Training from Noisy Labels
-This code is a PyTorch implementation of the paper "[Demystifying How Self-Supervised Features Improve Training from Noisy Labels]".
+# Mitigating Memorization of Noisy Labels via Regularization between Representations
+This code is a PyTorch implementation of the paper "[Mitigating Memorization of Noisy Labels via Regularization between Representations]".
 The code is run on the Tesla V-100.
 ## Prerequisites
 Python 3.8.5
@@ -44,4 +44,4 @@ python CE_Reg.py --reg rkd_dis --noise_type symmetric --noise_rate 0.6 --epochs
 
 ## References
 
-The code of SSL pre-training is based on **https://github.com/leftthomas/SimCLR**
+The code of SSL pre-training is based on **https://github.com/leftthomas/SimCLR**