Author

Q. Tran

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Jul 2026

Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions

Geometry-Spectral Rectification (GSR), a theoretically grounded framework that treats long-tailed learning as a spectral regularization problem, is proposed, offering a superior trade-off between computational efficiency and robust generalization in long-tailed settings.

Q. Tran, Ngoc-Hai Nguyen, Quan Dao et al. · arXiv.org · 0 citations