LPQLD reduces soft label storage in dataset distillation by 78-500x on ImageNet datasets via pruning with dynamic reuse and quantization with student-teacher alignment, while improving accuracy.
Distilling the knowledge in data pruning
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TaxDistill distills soft labels from GenomeOcean into a student network to reduce noise from similarity-based tools and improve F1 scores on CAMI2 metagenomic datasets.
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Soft Label Pruning and Quantization for Large-Scale Dataset Distillation
LPQLD reduces soft label storage in dataset distillation by 78-500x on ImageNet datasets via pruning with dynamic reuse and quantization with student-teacher alignment, while improving accuracy.
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TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models
TaxDistill distills soft labels from GenomeOcean into a student network to reduce noise from similarity-based tools and improve F1 scores on CAMI2 metagenomic datasets.