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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 11–20 of 97 papers

Title	Date	Tasks	Status	Hype	Score
Flexible Dataset Distillation: Learn Labels Instead of Images	Jun 15, 2020	Dataset DistillationData Summarization	CodeCode Available	1	5
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers	Aug 31, 2020	Bayesian InferenceData Summarization	CodeCode Available	0	5
Balancing Utility and Fairness in Submodular Maximization (Technical Report)	Nov 2, 2022	Combinatorial OptimizationData Summarization	CodeCode Available	0	5
Black-box Coreset Variational Inference	Nov 4, 2022	Bayesian InferenceData Summarization	CodeCode Available	0	5
Group Equality in Adaptive Submodular Maximization	Jul 7, 2022	Data SummarizationFairness	CodeCode Available	0	5
Fair and Diverse DPP-based Data Summarization	Feb 12, 2018	Data SummarizationDiversity	CodeCode Available	0	5
apricot: Submodular selection for data summarization in Python	Jun 8, 2019	Data Summarization	CodeCode Available	0	5
DiffRed: Dimensionality Reduction guided by stable rank	Mar 9, 2024	Data SummarizationData Visualization	CodeCode Available	0	5
Fair k-Center Clustering for Data Summarization	Jan 24, 2019	ClusteringData Summarization	CodeCode Available	0	5
Understanding collections of related datasets using dependent MMD coresets	Jun 24, 2020	Data Summarization	CodeCode Available	0	5

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