class imbalance

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022 Ahmed and Khalil at NADI 2022: Transfer Learning and Addressing Class Imbalance for Arabic Dialect Identification and Sentiment Analysis EMNLP 2022 Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language SemEval 2022 Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling SemEval 2022 An Agnostic Approach to Federated Learning with Class Imbalance ICLR 2022 A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation ACML 2022 Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code Embeddings COLING 2022 Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022 Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022 Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs NeurIPS 2022 Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study EMNLP 2022 Class-Balanced Active Learning for Image Classification WACV 2022 Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation CVPR 2022 Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding ICML 2022 ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences NeurIPS 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification NeurIPS 2022 CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning CVPR 2022 CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation AAAI 2022 DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning CVPR 2022 DD-TIG at Constraint@ACL2022: Multimodal Understanding and Reasoning for Role Labeling of Entities in Hateful Memes ACL 2022 Debiased Learning From Naturally Imbalanced Pseudo-Labels CVPR 2022 Deformable CNN and Imbalance-Aware Feature Learning for Singing Technique Classification Interspeech 2022 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022 Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data MLHC 2022 DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text. ACL 2022