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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 41–50 of 97 papers

TitleStatusHype
Towards General Robustness to Bad Training Data—0
Data Summarization via Bilevel Optimization—0
A Unified Framework for Task-Driven Data Quality Management—0
Adaptive Sampling for Fast Constrained Maximization of Submodular Function—0
Synthetic Dataset Generation of Driver TelematicsCode0
Introduction to Core-sets: an Updated Survey—0
Deep Submodular Networks for Extractive Data Summarization—0
Fair and Representative Subset Selection from Data StreamsCode0
A Principled Approach to Data Valuation for Federated Learning—0
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of OutliersCode0
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