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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 51–60 of 97 papers

TitleStatusHype
How to Solve Fair k-Center in Massive Data Models—0
Regularized Submodular Maximization at Scale—0
CO-Optimal TransportCode1
Streaming Submodular Maximization under a k-Set System ConstraintCode0
Streaming Submodular Maximization under a k-Set System Constraint—0
How to Solve Fair k-Center in Massive Data Models—0
Fair k-Centers via Maximum Matching—0
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
Differentially Private Distributed Data Summarization under Covariate Shift—0
Soft-Label Dataset Distillation and Text Dataset DistillationCode1
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