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Data Summarization

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

Papers

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Showing 1–10 of 97 papers

TitleStatusHype
Sequential estimation of Spearman rank correlation using Hermite series estimatorsCode1
Sequential Quantiles via Hermite Series Density EstimationCode1
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning FrameworkCode1
Semi-supervised Batch Active Learning via Bilevel OptimizationCode1
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short SummariesCode1
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
CO-Optimal TransportCode1
Flexible Dataset Distillation: Learn Labels Instead of ImagesCode1
Soft-Label Dataset Distillation and Text Dataset DistillationCode1
Submodlib: A Submodular Optimization LibraryCode1
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