Author

Han Qin

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Label Distribution Imputation and Bias-Corrective Representation Learning for Incomplete and Imbalanced Label Distribution

LDIBR performs instance-adaptive imputation conditioned on instance features and the binary observation mask, and learns a prior, a reliability-gated correction, and entry-wise fusion weights to produce a normalized imputed distribution.

Xiangcheng Sun, Miaogen Ling, Han Qin et al. · 0 citations