lhj940825/second-moment-loss
The second-moment loss (SML) is a novel training objective for dropout-based regression networks that yields improved uncertainty estimates.
Jupyter NotebookMIT
The second-moment loss (SML) is a novel training objective for dropout-based regression networks that yields improved uncertainty estimates.
Jupyter NotebookMIT