Coreset Selection

SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection featured image

SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection

arXiv
We introduce SubZeroCore, a novel, training-free coreset selection method that integrates submodular coverage and density into a single, unified objective.
brian-bernhard-moser
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HyperCore: Coreset Selection under Noise via Hypersphere Models featured image

HyperCore: Coreset Selection under Noise via Hypersphere Models

arXiv
We present HyperCore, a lightweight adaptive coreset selection framework designed for noisy environments. HyperCore utilizes per class hypersphere models and adaptively selects pruning thresholds.
brian-bernhard-moser
PDF