Class-wise reliability-weighted aggregation of experts trained on progressively clipped subsets improves few-shot accuracy on long-tailed benchmarks.
Learning imbalanced datasets with label-distribution-aware margin loss
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification
Class-wise reliability-weighted aggregation of experts trained on progressively clipped subsets improves few-shot accuracy on long-tailed benchmarks.