Deep saliency models : The quest for the loss function.
Alexandre BruckertHamed R. TavakoliZhi LiuMarc ChristieOlivier Le MeurPublished in: Neurocomputing (2021)
Keyphrases
- loss function
- pairwise
- learning to rank
- support vector
- gradient boosting
- logistic regression
- boosting framework
- hinge loss
- risk minimization
- regularization term
- loss minimization
- reproducing kernel hilbert space
- solution path
- empirical risk
- objective function
- decision trees
- information retrieval
- pairwise constraints
- special case
- training set
- bayes rule
- learning algorithm