applicable models
discriminative
Models that learn decision boundaries directly
9 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Contrastive Explanation Method | Algorithmic | Architecture/neural Networks Paradigm/discriminative +4 | Any | The Contrastive Explanation Method (CEM) explains one prediction of a classifier, such as a neural network, by... | ||
| Out-of-Distribution Detector for Neural Networks | Algorithmic | Architecture/neural Networks Paradigm/discriminative +3 | Image | ODIN (Out-of-Distribution Detector for Neural Networks) flags inputs that look unlike the data a neural network... | ||
| Adversarial Debiasing | Algorithmic | Architecture/neural Networks Paradigm/discriminative +4 | Any | Adversarial debiasing trains a model so that its predictions carry as little information as possible about a protected... | ||
| Homomorphic Encryption | Algorithmic | Architecture/linear Models Architecture/model Agnostic +5 | Any | Homomorphic encryption lets a server compute on data that stays encrypted, so the server never sees the underlying... | ||
| Temperature Scaling | Algorithmic | Architecture/neural Networks Paradigm/discriminative +4 | Any | Temperature scaling is a correction applied after training to a classifier that is more confident than it is accurate, a... | ||
| Prejudice Remover Regulariser | Algorithmic | Architecture/linear Models/logistic Architecture/probabilistic +4 | Tabular | The Prejudice Remover Regulariser, proposed by Kamishima and colleagues (2012), trains a classifier with an extra... | ||
| Exponentiated Gradient Reduction | Algorithmic | Architecture/model Agnostic Paradigm/discriminative +4 | Any | Exponentiated gradient reduction trains a classifier that satisfies a chosen fairness criterion, such as demographic... | ||
| Multi-Accuracy Boosting | Algorithmic | Architecture/ensemble Paradigm/discriminative +2 | Any | Multi-accuracy boosting is a post-processing method that corrects a trained classifier's systematic errors on subgroups... | ||
| Threshold Optimiser | Algorithmic | Architecture/model Agnostic Paradigm/discriminative +2 | Any | Threshold Optimiser is a post-processing method, introduced by Hardt, Price and Srebro (2016), that adjusts a trained... |
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