Tag: coreset
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FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection arXiv:2511.19476v1 Announce Type: new Abstract: Coreset selection compresses large datasets into compact, representative subsets, reducing the energy and computational burden of training deep neural networks. Existing methods are either: (i) DNN-based, which are tied to model-specific parameters and introduce architectural bias; or (ii) DNN-free, which rely on…
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Deterministic Coreset Construction via Adaptive Sensitivity Trimming
Deterministic Coreset Construction via Adaptive Sensitivity Trimming arXiv:2508.18340v1 Announce Type: new Abstract: We develop a rigorous framework for deterministic coreset construction in empirical risk minimization (ERM). Our central contribution is the Adaptive Deterministic Uniform-Weight Trimming (ADUWT) algorithm, which constructs a coreset by excising points with the lowest sensitivity bounds and applying a data-dependent uniform weight…
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Coreset selection for the Sinkhorn divergence and generic smooth divergences
Coreset selection for the Sinkhorn divergence and generic smooth divergences arXiv:2504.20194v1 Announce Type: new Abstract: We introduce CO2, an efficient algorithm to produce convexly-weighted coresets with respect to generic smooth divergences. By employing a functional Taylor expansion, we show a local equivalence between sufficiently regular losses and their second order approximations, reducing the coreset selection…