conftrace_

confusion matrix

32 papers

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Co-occurring keywords

generalization bound (652) label noise (498) multiclass classification (181) bayesian inference (1907) binary classification (678) fairness constraint (125) binary classifier (60) noisy label (321) demographic parity (75) low-resource setting (115)

Papers

DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026
On Truthing Issues in Supervised Classification JMLR 2024
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom NIPS 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective ICML 2023
Optimal Binary Classification Beyond Accuracy NIPS 2022
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance CVPR 2022
The Hitchhiker's Guide to Prior-Shift Adaptation WACV 2022
Group-Aware Threshold Adaptation for Fair Classification AAAI 2022
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NIPS 2022
Optimizing Black-box Metrics with Iterative Example Weighting ICML 2021
Adversarial-Learned Loss for Domain Adaptation AAAI 2020
Consistent Plug-in Classifiers for Complex Objectives and Constraints NIPS 2020
Reinforcement Learning with Perturbed Rewards AAAI 2020
A Unified View of Label Shift Estimation NIPS 2020
FACT: A Diagnostic for Group Fairness Trade-offs ICML 2020
Performance Metric Elicitation from Pairwise Classifier Comparisons AISTATS 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels EMNLP 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels IJCNLP 2019
Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019
Learning with Complex Loss Functions and Constraints AISTATS 2018