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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

TitleStatusHype
CO-Optimal TransportCode1
Differentially Private Distributed Data Summarization under Covariate Shift—0
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms—0
Differentiable Submodular Maximization—0
A Unified Framework for Task-Driven Data Quality Management—0
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges—0
Differentially Private Submodular Maximization: Data Summarization in Disguise—0
A Principled Approach to Data Valuation for Federated Learning—0
Data Summarization at Scale: A Two-Stage Submodular Approach—0
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach—0
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