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.
Model Performance on the Thai-Maywe dataset Table 1 shows the prediction performance on the Thai-Maywe dataset of our method compared to other baselines
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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.