GRINCO performs acquisition in the quotient space induced by a transformation group using invariant embeddings or canonical representatives, pairs it with orbit-averaged loss, derives a generalization bound, and reports better orbit coverage and label efficiency than standard coresets on synthetic a
Small coresets via negative dependence: Dpps, linear statistics, and concentration,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Group-invariant Coresets for Data-efficient Active Learning
GRINCO performs acquisition in the quotient space induced by a transformation group using invariant embeddings or canonical representatives, pairs it with orbit-averaged loss, derives a generalization bound, and reports better orbit coverage and label efficiency than standard coresets on synthetic a