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Meta-learning for real-world class incremental learning: a transformer-based approach

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Abstract Modern natural language processing (NLP) state-of-the-art (SoTA) deep learning (DL) models have hundreds of millions of parameters. making them extremely complex. Large datasets are required for training these models. and while pretraining has reduced this requirement. https://stehlenautomotivers.shop/product-category/bumper-grille-guard/
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