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imbalanced datum

81 papers

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Co-occurring keywords

representation learning (6206) data augmentation (3052) class imbalance (555) text classification (6793) imbalanced learning (48) loss function (462) ensemble learning (1274) contrastive learning (4032) long-tailed distribution (142) imbalanced classification (77)

Papers

Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition ICML 2023
PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module SEMEVAL 2023
AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023
AUC Maximization in Imbalanced Lifelong Learning UAI 2023
Dynamic Residual Classifier for Class Incremental Learning ICCV 2023
Imbalanced Label Distribution Learning AAAI 2023
Imbalanced Mixed Linear Regression NIPS 2023
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023
AdityaPatkar at WASSA 2023 Empathy, Emotion, and Personality Shared Task: RoBERTa-Based Emotion Classification of Essays, Improving Performance on Imbalanced Data ACL 2023
Learning Imbalanced Data With Vision Transformers CVPR 2023
Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022
Automated Defect Inspection in Reverse Engineering of Integrated Circuits WACV 2022
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data ACL 2022
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NIPS 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data NIPS 2021
Learning Fast Sample Re-Weighting Without Reward Data ICCV 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021
Learning Rare Category Classifiers on a Tight Labeling Budget ICCV 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data INTERSPEECH 2021
Distributional Robustness Loss for Long-Tail Learning ICCV 2021
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection CVPR 2021
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NIPS 2021
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation AAAI 2021
Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data ACML 2021
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021