Class Incremental Learning With Large Domain Shift

We address an important and practical problem facing deep-learning-based image classification: class incremental learning with a large domain shift.Most previous efforts on class incremental learning focus on one aspect of the problem, i.e., learning to classify additional new classes (with a little shift).However, in the real world, when new class

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Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells.

Inappropriate activation or inadequate regulation of CD4+ and CD8+ Outdoor Dining Set T cells may contribute to the initiation and progression of multiple autoimmune and inflammatory diseases.Studies on disease-associated genetic polymorphisms have highlighted the importance of biological context for many regulatory variants, which is particularly

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