2026
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
ICML 2026poster
Class-incremental learning (CIL) with pre-trained models (PTMs) faces a critical trade-off between efficient adaptation and long-term stability. While analytic learning enables rapid, recursive closed-form updates, its efficacy is often compromised by accumulated errors and feature incompatibility. …