Incremental Learning Techniques

insight - Incremental Learning Techniques

REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning

Representation Enhanced Analytic Learning (REAL) improves class-incremental learning by enhancing representations and knowledge transfer.

Pre-Trained Model-Based Class-Incremental Learning with Expandable Subspace Ensemble

Proposing EASE for efficient model updating in Class-Incremental Learning using PTMs.

Enhancing Forward Compatibility in Class Incremental Learning with Representation Rank and Feature Richness

Effective-Rank based Feature Richness enhancement (RFR) method improves forward compatibility in class incremental learning by increasing representation rank.

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning

提案されたG-ACILは、GCILシナリオにおける重要な問題を解決し、競合するメソッドよりも優れたパフォーマンスを示します。

One-Shot Domain Incremental Learning Study

Improving one-shot domain incremental learning through modified batch normalization statistics.

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