Controlled semantic perturbations and selective robustness training with entity masking and adversarial objectives mitigate the typical robustness-accuracy trade-off in publication type and study design classification.
Asymmetric Loss for Multi-Label Classification
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Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations
Controlled semantic perturbations and selective robustness training with entity masking and adversarial objectives mitigate the typical robustness-accuracy trade-off in publication type and study design classification.