You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Sorry for later reply. From my perspective, different kd losses are suitable for different tasks. For classification, the orginal KD (soft target) is ok, because it can be treated a variation of label smoothing regularization. You may tune the temperature and the trade-off parameters in soft target. Another tow kd losses for classification I recommended are sp and cc. Hope these kd losses have helped.
thanks your shariing. Can you tell me which lossfunction is best in " "kd_losses " for classification task?
The text was updated successfully, but these errors were encountered: