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2025 - Collas - Enhancing Plasticity For First Session Adaptation by c3lttrong2a1btbinh is a document available to read on EtoBox.

The paper presents PLASTIC, a novel method for Class-Incremental Learning (CIL) that enhances model plasticity while maintaining stability by employing Test-Time Adaptation (TTA) on unlabeled test data. PLASTIC addresses the limitations of First-Session Adaptation (FSA) in heterogeneous task distributions by dynamically fine-tuning LayerNorm parameters and utilizing a teacher-student distillation framework to prevent model divergence. Extensive experiments demonstrate that PLASTIC outperforms existing CIL m

Author
c3lttrong2a1btbinh
Language
EN