miscellaneous-8
Data Summarization
3260 papers • 126 benchmarks • 313 datasets
Data Summarization is a central problem in the area of machine learning, where we want to compute a small summary of the data. Source: How to Solve Fair k-Center in Massive Data Models
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2 papers 14
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Soft-Label Dataset Distillation and Text Dataset Distillation
Matthias Schonlau, Ilia Sucholutsky•Sat Oct 05 2019
This work proposes to simultaneously distill both images and their labels, thus assigning each synthetic sample a `soft' label (a distribution of labels) and demonstrates that text distillation outperforms other methods across multiple datasets.
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