ICME'23, Lightweight sub-attention strategy (LSAS) utilizes high-order sub-attention modules to improve the original self-attention modules.
-
Updated
Jun 16, 2023 - Python
ICME'23, Lightweight sub-attention strategy (LSAS) utilizes high-order sub-attention modules to improve the original self-attention modules.
Reproducible R Markdown analyses of eye-tracking attention bias data using GLMMS to model heterogeneous distributions and participant-specific task effects.
To associate your repository with the attention-bias topic, visit your repo's landing page and select "manage topics."