ConflictualLoss#

class torch_uncertainty.losses.ConflictualLoss(reg_weight=1, reduction='mean')[source]#

The Conflictual Loss.

Parameters:

  • reg_weight (float) – The weight of the regularization term.

  • reduction (str) – specifies the reduction to apply to the output:'none' | 'mean' | 'sum'.

References

[1] Mohammed Fellaji et al. On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss.

forward(logits, targets)[source]#

Compute the conflictual loss.

Parameters:

  • logits (Tensor) – The outputs of the model.

  • targets (Tensor) – The target values.

Returns:

The conflictual loss.

Return type:

Tensor