A Overall procedure of consistency regularization for ABC
–Neural Information Processing Systems
Supplementary Material for the Paper entitled "ABC: Auxiliary Balanced Classifier for Class-Imbalanced Semi-Supervised Learning" Figure 1 illustrates the overall procedure of consistency regularization for the ABC. Detailed procedure is described in Section 3.4 of the main paper. The pseudo code of the proposed algorithm is presented in Algorithm 1. The for loop (lines 2 14) can be run in parallel. Two types of class imbalance for the considered datasets are illustrated in Figure 2. In Figure 2 (b), we can see that each minority class has a very small amount of data. Existing SSL algorithms can be significantly biased toward majority classes under step imbalanced settings.
Neural Information Processing Systems
May-21-2025, 01:21:03 GMT
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