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imbalanced classification

77 papers

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Co-occurring keywords

class imbalance (555) text classification (6793) data augmentation (3052) long-tailed distribution (142) stochastic optimization (1060) imbalanced learning (48) imbalanced datum (81) auc maximization (24) loss function (462) deep learning (2118)

Papers

Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023
Tilted Sparse Additive Models ICML 2023
Precision/Recall on Imbalanced Test Data AISTATS 2023
Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism SEMEVAL 2023
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NIPS 2023
Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NIPS 2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation EMNLP 2022
Robust High-Dimensional Classification From Few Positive Examples IJCAI 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022
Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint AISTATS 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC NIPS 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images ICML 2022
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection NIPS 2022
ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data ACML 2021
Interpretable Minority Synthesis for Imbalanced Classification IJCAI 2021
Positive-Unlabeled Learning from Imbalanced Data IJCAI 2021
Stochastic Proximal AUC Maximization JMLR 2021
Automatic Resolution of Domain Name Disputes EMNLP 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
Deep Differential Amplifier for Extractive Summarization IJCNLP 2021
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021