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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 21–30 of 97 papers

Title	Date	Tasks	Status	Hype	Score
apricot: Submodular selection for data summarization in Python	Jun 8, 2019	Data Summarization	CodeCode Available	0	5
Fast and Accurate Least-Mean-Squares Solvers	Jun 11, 2019	Data Summarization	CodeCode Available	0	5
Understanding collections of related datasets using dependent MMD coresets	Jun 24, 2020	Data Summarization	CodeCode Available	0	5
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization	Apr 20, 2018	Data SummarizationDecoder	CodeCode Available	0	5
Balancing Utility and Fairness in Submodular Maximization (Technical Report)	Nov 2, 2022	Combinatorial OptimizationData Summarization	CodeCode Available	0	5
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization	Sep 5, 2018	Bayesian OptimizationData Summarization	CodeCode Available	0	5
An Online Algorithm for Nonparametric Correlations	Dec 5, 2017	Data SummarizationSequential Correlation Estimation	CodeCode Available	0	5
Fair and Diverse DPP-based Data Summarization	Feb 12, 2018	Data SummarizationDiversity	CodeCode Available	0	5
Black-box Coreset Variational Inference	Nov 4, 2022	Bayesian InferenceData Summarization	CodeCode Available	0	5
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision	Nov 29, 2018	Action RecognitionActive Learning	CodeCode Available	0	5

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