Methods › General › Clustering › Coresets

Coresets

103 papers tagged archive 2025-07-28

Introduced by Ozan Sener et al. in Active Learning for Convolutional Neural Networks: A Core-Set Approach

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 103, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 69 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Clustering19
regression15
Bayesian Inference6
Continual Learning5
Data Summarization5
Sensitivity5
Active Learning4
Bilevel Optimization4
Classification4
Point Processes4
Anomaly Detection3
BIG-bench Machine Learning3
Federated Learning3
GPU3
Network Pruning3
Variational Inference3
Constrained Clustering2
Dataset Condensation2
Density Estimation2
Dimensionality Reduction2

Usage over time archive 2025-07-28

Papers per year tagged with Coresets: 2017 to 2025, peak 18 18 0 2017: 6 papers 2017 2018: 7 papers 2018 2019: 11 papers 2019 2020: 15 papers 2020 2021: 11 papers 2021 2022: 12 papers 2022 2023: 16 papers 2023 2024: 18 papers 2024 2025: 7 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (103 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Clustering

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