data imbalance

φ-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models CVPR 2026 CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition WACV 2025 Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models ICML 2025 In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images AAAI 2025 Rethinking the Bias of Foundation Model under Long-tailed Distribution ICML 2025 Tue-JMS at SemEval-2025 Task 11: KReLax: An Ensemble-Based Approach for Multilingual Emotion Detection and Addressing Data Imbalance SemEval 2025 When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification ACL 2025 xiacui at SemEval-2025 Task 11: Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss SemEval 2025 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning CVPR 2024 Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Towards Fast Cognate Alignment on Imbalanced Data COLING 2024 What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark Interspeech 2024 What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights NeurIPS 2024 CVTE-Poly: A New Benchmark for Chinese Polyphone Disambiguation Interspeech 2023 FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023 Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation EMNLP 2023 Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation AAAI 2023 Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition EMNLP 2023 Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ACL 2023 Balanced MSE for Imbalanced Visual Regression CVPR 2022 How Can a Teacher Make Learning From Sparse Data Softer? Application to Business Relation Extraction EMNLP 2022 Learning To Learn Across Diverse Data Biases in Deep Face Recognition CVPR 2022 RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression ICML 2022