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A Comprehensive Survey on Data Augmentation
Existing literature surveys only focus on a certain type of specific modality data, and categorize these methods from modality-specific and operation-centric perspectives, which lacks a consistent summary of data augmentation methods across multiple modalities and limits the comprehension of how existing data samples serve the data augmentation process.
TFWT: Tabular Feature Weighting with Transformer
In this paper, we propose a novel feature weighting method to address the limitation of existing feature processing methods for tabular data.
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