imbalanced dataset

Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification ACL 2025 Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance ICLR 2025 Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets ICML 2024 Class Balancing for Efficient Active Learning in Imbalanced Datasets EACL 2024 Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification ICML 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 AAST-NLP at ArAIEval Shared Task: Tackling Persuasion technique and Disinformation Detection using Pre-Trained Language Models On Imbalanced Datasets EMNLP 2023 Algorithm Selection for Deep Active Learning with Imbalanced Datasets NeurIPS 2023 No One Left Behind: Improving the Worst Categories in Long-Tailed Learning CVPR 2023 Deep Learning Approaches for Detecting Alzheimer’s Dementia from Conversational Speech of ILSE Study Interspeech 2022 Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch Interspeech 2022 FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification ACL 2022 Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022 JCT at SemEval-2022 Task 4-A: Patronism Detection in Posts Written in English using Preprocessing Methods and various Machine Leaerning Methods SemEval 2022 On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets EMNLP 2022 Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting ACL 2022 Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022 IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets NAACL 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets CVPR 2021 Active Learning for Imbalanced Datasets WACV 2020 HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection COLING 2020 HINT3: Raising the bar for Intent Detection in the Wild EMNLP 2020 Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation EMNLP 2020 Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets AAAI 2019