classifier calibration

FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement CVPR 2026 Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer AAAI 2025 Partial-Label Learning with Conformal Candidate Cleaning UAI 2025 Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024 Pushing Boundaries: Mixup's Influence on Neural Collapse ICLR 2024 Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023 Don’t waste a single annotation: improving single-label classifiers through soft labels EMNLP 2023 Leveraging Structure for Improved Classification of Grouped Biased Data AAAI 2023 Optimal Transport of Classifiers to Fairness NeurIPS 2022 Automatic Open-World Reliability Assessment WACV 2021 Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting ICCV 2021 Learning Placeholders for Open-Set Recognition CVPR 2021 Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances AAAI 2021 Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NeurIPS 2021 On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021 Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020 Recalibrating classifiers for interpretable abusive content detection EMNLP 2020 A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013 Learning and Calibrating Per-Location Classifiers for Visual Place Recognition CVPR 2013