selective classification

MaskTune: Mitigating Spurious Correlations by Forcing to Explore NeurIPS 2022 Disrupting Deep Uncertainty Estimation Without Harming Accuracy NeurIPS 2021 Efficient Learning with Arbitrary Covariate Shift ALT 2021 Fair Selective Classification Via Sufficiency ICML 2021 Identifying regions of trusted predictions UAI 2021 Online Selective Classification with Limited Feedback NeurIPS 2021 Selective Classification Can Magnify Disparities Across Groups ICLR 2021 Selective Classification via One-Sided Prediction AISTATS 2021 PLANS: Neuro-Symbolic Program Learning from Videos NeurIPS 2020 Self-Adaptive Training: beyond Empirical Risk Minimization NeurIPS 2020 Deep Gamblers: Learning to Abstain with Portfolio Theory NeurIPS 2019 Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019 The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient JMLR 2019 Selective Classification for Deep Neural Networks NeurIPS 2017 Active Learning via Perfect Selective Classification JMLR 2012 Agnostic Selective Classification NeurIPS 2011 On the Foundations of Noise-free Selective Classification JMLR 2010