classification accuracy

What Can We Learn by Predicting Accuracy? WACV 2023 Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection ACL 2022 Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification JMLR 2022 Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022 Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NeurIPS 2022 Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data ICML 2022 A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021 Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021 Constrained Weight Optimization for Learning Without Activation Normalization WACV 2021 Do Image Classifiers Generalize Across Time? ICCV 2021 Predicting Classification Accuracy When Adding New Unobserved Classes ICLR 2021 Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy ICLR 2021 Bayesian Differential Privacy for Machine Learning ICML 2020 Bounding the fairness and accuracy of classifiers from population statistics ICML 2020 Distilling Effective Supervision From Severe Label Noise CVPR 2020 Interpretable and Differentially Private Predictions AAAI 2020 Learning Data-adaptive Non-parametric Kernels JMLR 2020 Rethinking Classification and Localization for Object Detection CVPR 2020 A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia Interspeech 2019 Bounding Uncertainty for Active Batch Selection AAAI 2019 Classification Accuracy Score for Conditional Generative Models NeurIPS 2019 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 Cascading Sum-Product Networks using Robustness PGM 2018 Exact learning augmented naive Bayes classifier PGM 2018