class imbalance

Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation ACML 2024 Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision ICLR 2024 CUET_Binary_Hackers at ClimateActivism 2024: A Comprehensive Evaluation and Superior Performance of Transformer-Based Models in Hate Speech Event Detection and Stance Classification for Climate Activism EACL 2024 DAFA: Distance-Aware Fair Adversarial Training ICLR 2024 Decoupled Contrastive Learning for Long-Tailed Recognition AAAI 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024 DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge NeurIPS 2024 DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning AAAI 2024 Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract) AAAI 2024 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data COLING 2024 Exploring Weight Balancing on Long-Tailed Recognition Problem ICLR 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models NeurIPS 2024 Imbalance-aware loss functions improve medical image classification MIDL 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem NeurIPS 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024 Label Augmentation As Inter-Class Data Augmentation for Conditional Image Synthesis With Imbalanced Data WACV 2024 Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024 Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication ICLR 2024 Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024 Learning De-Biased Representations for Remote-Sensing Imagery NeurIPS 2024 Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss IJCAI 2024