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
Geometric me- dian matching for robust k-subset selection from noisy data,
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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