Author

Rajeev Raman

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#machine learning Jul 2026

Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition

This work characterises a fundamental phenomenon in models trained on imbalanced data, termed the preference issue, wherein models exhibit higher training error and a larger generalisation gap for classes with limited data and demonstrates that CBS effectively mitigates the preference issue.

Yi-Hang Zhu, Rajeev Raman, Shiqi Su et al. · arXiv.org · 0 citations