A new method frames dataset distillation as joint rate-utility optimization, storing distilled images as entropy-coded latent codes plus tiny decoders, and it reports better storage-accuracy trade-offs than prior methods.
Soft-to-hard vector quantization for end-to-end learn- ing compressible representations
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Dataset Distillation as Data Compression: A Rate-Utility Perspective
A new method frames dataset distillation as joint rate-utility optimization, storing distilled images as entropy-coded latent codes plus tiny decoders, and it reports better storage-accuracy trade-offs than prior methods.