conftrace_

imbalanced learning

48 papers

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Also known as

IL

Co-occurring keywords

class imbalance (555) imbalanced datum (81) data augmentation (3052) representation learning (6206) imbalanced classification (77) imbalanced dataset (25) feature learning (1311) text classification (6793) generative adversarial network (1944) graph neural network (3962)

Papers

Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025
Improving Multimodal Learning via Imbalanced Learning ICCV 2025
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NIPS 2024
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024
Defying Imbalanced Forgetting in Class Incremental Learning AAAI 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NIPS 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024
Neural Collapse To Multiple Centers For Imbalanced Data NIPS 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NIPS 2024
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning CVPR 2023
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition NIPS 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NIPS 2023
Data Augmentation for Imbalanced Regression AISTATS 2023
Difficulty-Net: Learning To Predict Difficulty for Long-Tailed Recognition WACV 2023
Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning WACV 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification AAAI 2023
Imbalanced Label Distribution Learning AAAI 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate CVPR 2023
Adaptive Hinge Balance Loss for Document-Level Relation Extraction EMNLP 2023
AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 2023
Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification EMNLP 2023