imbalanced learning

Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate CVPR 2023 Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning WACV 2023 A Lightweight Yet Robust Approach to Textual Anomaly Detection COLING 2022 DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. ACL 2022 Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data ACL 2022 Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction ACL 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022 Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting ACL 2022 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data ICML 2022 Background Splitting: Finding Rare Classes in a Sea of Background CVPR 2021 De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021 Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NeurIPS 2021 Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer NeurIPS 2021 Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021 CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NeurIPS 2020 Posterior Re-calibration for Imbalanced Datasets NeurIPS 2020 Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation EMNLP 2020 SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Discriminative Sample Generation for Deep Imbalanced Learning IJCAI 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019 Neural Whispered Speech Detection with Imbalanced Learning Interspeech 2019 Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach ACML 2015