Learning with Rejection

@inproceedings{Cortes2016LearningWR,
  title={Learning with Rejection},
  author={Corinna Cortes and G. DeSalvo and M. Mohri},
  booktitle={ALT},
  year={2016}
}
We introduce a novel framework for classification with a rejection option that consists of simultaneously learning two functions: a classifier along with a rejection function. [...] Key Result We report the results of several experiments showing that our kernel-based algorithms can yield a notable improvement over the best existing confidence-based rejection algorithm.Expand
88 Citations
Boosting with Abstention
  • 45
  • PDF
On the Calibration of Multiclass Classification with Rejection
  • 9
  • PDF
Consistent algorithms for multiclass classification with an abstain option
  • 17
  • PDF
Generalized Learning with Rejection for Classification and Regression Problems
  • Highly Influenced
  • PDF
Generalized Neural Framework for Learning with Rejection
  • Amina Asif, F. Minhas
  • Computer Science
  • 2020 International Joint Conference on Neural Networks (IJCNN)
  • 2020
  • PDF
Active Learning for Classification with Abstention
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient
  • 7
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Sparse and Robust Reject Option Classifier using Successive Linear Programming
  • PDF
On-line Learning with Abstention
  • 4
  • PDF
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References

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The interaction between classification and reject performance for distance-based reject-option classifiers
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Classification with a Reject Option using a Hinge Loss
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Support vector machines with a reject option
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Beyond Disagreement-Based Agnostic Active Learning
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Growing a multi-class classifier with a reject option
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