class imbalance

Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech Interspeech 2023 Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection NeurIPS 2023 Learning Imbalanced Data With Vision Transformers CVPR 2023 Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels ICCV 2023 Local and Global Logit Adjustments for Long-Tailed Learning ICCV 2023 Long-Tailed Partial Label Learning via Dynamic Rebalancing ICLR 2023 Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation CVPR 2023 MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition ICCV 2023 MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition AAAI 2023 Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition AAAI 2023 Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders AISTATS 2023 NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset SemEval 2023 On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data AISTATS 2023 On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023 Parametric Information Maximization for Generalized Category Discovery ICCV 2023 Precision/Recall on Imbalanced Test Data AISTATS 2023 Predicting Rare Events by Shrinking Towards Proportional Odds ICML 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023 RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories CVPR 2023 Resolving Class Imbalance for LiDAR-Based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling WACV 2023 Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition NeurIPS 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union NeurIPS 2023 RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023 Robust Image Ordinal Regression with Controllable Image Generation IJCAI 2023