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Found 3 papers, 2 papers with code
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Large language models (LLMs)have achieved great success in general domains of natural language processing.
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation
This necessitates rethinking cost-sensitive classification in DNNs.
Reprint: a randomized extrapolation based on principal components for data augmentation
This paper presents REPRINT, a simple and effective hidden-space data augmentation method for imbalanced data classification.
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