Training stabilization and regularization
13 methods in the atlas attack this one problem. They are rivals: each wins something the others do not.
Phrasings that mean this problem
Training stabilizationRegularizationClassifier calibrationData augmentationTraining schedulesNeural regularizationOverfitting controlProbability calibrationTraining strategy
deep-learning
- Gradient clippingGlobal-norm rescalingstandarddeep-learning
- Layer normalizationstandalonestandarddeep-learning
- Residual dropoutstandalonespecialistdeep-learning
- Label smoothingstandalonespecialistdeep-learning
- Mixup augmentationConvex sample interpolationspecialistdeep-learning
machine-learning
- Batch normalizationstandalonestandardmachine-learning
- Dropoutstandalonestandardmachine-learning
- Learning rate warmupCosine annealing schedulestandardmachine-learning
model-selection
- Early stoppingValidation-plateau patiencecanonmodel-selection
recommender-causal
- Platt scalingSigmoid calibrationstandardrecommender-causal
- Isotonic calibrationMonotone regressionspecialistrecommender-causal
semi-supervised-meta
- Curriculum learningEasy-to-hard orderingstandardsemi-supervised-meta
- Self-paced learningDifficulty-gated samplingspecialistsemi-supervised-meta