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.
Despite its widespread impact, many individuals re- main unaware of their susceptibility to depression, which of- ten leads to delayed diagnosis and treatment [2]
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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.