conftrace_

label imbalance

18 papers

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Co-occurring keywords

multi-label classification (1009) text classification (6793) cross-entropy loss (151) support vector machine (978) class imbalance (555) semi-supervised learning (2341) active learning (1301) logit-adjusted parameterization (1) cost-sensitive svm (1) optimization path (2)

Papers

Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning ICCV 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection IJCNLP 2025
Rebalancing Multi-Label Class-Incremental Learning AAAI 2025
PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection SEMEVAL 2025
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective AAAI 2024
Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification ACL 2024
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum AAAI 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024
An Empirical Study on Active Learning for Multi-label Text Classification EACL 2023
Focal Training and Tagger Decouple for Grammatical Error Correction ACL 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data AISTATS 2023
An exploratory data analysis: the performance differences of a medical code prediction system on different demographic groups NAACL 2022
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces ICML 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NIPS 2021
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels CVPR 2020
Deep F-Measure Maximization for End-to-End Speech Understanding INTERSPEECH 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes ICML 2015