MHIM, a masking training method, is applied to attention-based depression detection models, producing modest improvements in accuracy and attention-based explainability on Thai and English datasets.
The pipeline was specifically de- signed to promote diversified attending pattern, thereby less prone to overfitting in low-data settings
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Explainable Depression Detection using Masked Hard Instance Mining
MHIM, a masking training method, is applied to attention-based depression detection models, producing modest improvements in accuracy and attention-based explainability on Thai and English datasets.