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Loss Functions

1162 directly classified papers

Papers per year

Papers

Novel Ensemble Diversification Methods for Open-Set Scenarios WACV 2022
PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions SEMEVAL 2022
Building Robust Ensembles via Margin Boosting ICML 2022
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning ICML 2022
Supervised Learning with General Risk Functionals ICML 2022
Low-Degree Multicalibration COLT 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks CVPR 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022
Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022
To Smooth or Not? When Label Smoothing Meets Noisy Labels ICML 2022
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML 2022
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks AAAI 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality CVPR 2022
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators ICML 2022
The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration CVPR 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning ICML 2022
AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022
Sum of Ranked Range Loss for Supervised Learning JMLR 2022
AdaFace: Quality Adaptive Margin for Face Recognition CVPR 2022
Neuro-symbolic entropy regularization UAI 2022
Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022
Learning sparse representations of preferences within Choquet expected utility theory UAI 2022
Logit Perturbation AAAI 2022
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression CVPR 2022