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1. Mixup-Inference-in-Training Mixup-Inference-in-Training Public

   This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of empirical studies showing the calibration issue of Mixup, a…

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2. Rethinking-Calibration-of-Deep-Neural-Networks Rethinking-Calibration-of-Deep-Neural-Networks Public

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3. LAMLKNN LAMLKNN Public

   This is an implementation of the paper "A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm".

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4. CompLossForNoisyLabels CompLossForNoisyLabels Public

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5. CLL_POCR CLL_POCR Public

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6. PL-AGGD PL-AGGD Public

   The implemention of PL-AGGD.

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