Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification

arXiv:2403.17130v1 Announce Type: new
Abstract: Dataset distillation aims at synthesizing a dataset by a small number of artificially generated data items, which, when used as training data, reproduce or approximate a machine learning (ML) model as if it were trained on the entire original dataset. Consequently, data distillation methods are usually tied to a specific ML algorithm. While recent literature deals mainly with distillation of large collections of images in the context of neural network models, tabular data distillation is …

abstract arxiv classification cs.ai cs.lg data data classification dataset distillation generated labels machine machine learning small training training data type