RCAP introduces class-aware probabilistic pruning that uses closed-form per-class fractions updated by loss and high-loss sampling to preserve worst-group accuracy at high pruning rates.
arXiv preprint arXiv:2107.04984 , year=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning
RCAP introduces class-aware probabilistic pruning that uses closed-form per-class fractions updated by loss and high-loss sampling to preserve worst-group accuracy at high pruning rates.