Detecting opioid craving from wearable physiological signals is critical yet difficult, with the potential to support proactive interventions for individuals with opioid use disorder (OUD). This challenge is especially pronounced under subject-independent evaluation because craving is subjective, heterogeneous, and oft...
Yi Xiao, Harshit Sharma, D. Bergen-Cico et al.· 0 citations
Parameter-efficient fine-tuning (PEFT) determines not only how many parameters are trained, but also which local directions a model can move in, so similar adapters can affect subgroup losses differently. Since curvature matrices are infeasible to form at adapter scale, scalar summaries such as the Fisher trace are oft...
Wasif Jalal, Sachin Deb, Asif Salekin· 0 citations
FABLE-Therm is introduced, a weakly supervised architecture that preserves localized evidence across body regions, time, and encoder-specific representations until the final decision, and shows that preserving localized evidence supports both accurate sensing and principled analysis of who a model fails and why.
Sachin Deb, Harshit Sharma, Asif Salekin· 0 citations
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