conftrace_

class imbalance

555 papers

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Co-occurring keywords

text classification (6793) data augmentation (3052) long-tailed distribution (142) representation learning (6206) semi-supervised learning (2341) multi-label classification (1009) transformer model (1996) long-tailed recognition (42) image classification (1944) loss function (462)

Papers

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023
Learning Imbalanced Data With Vision Transformers CVPR 2023
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023
Robust Image Ordinal Regression with Controllable Image Generation IJCAI 2023
Class-Balancing Diffusion Models CVPR 2023
Dynamic Re-Weighting for Long-Tailed Semi-Supervised Learning WACV 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing EACL 2023
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection NIPS 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity IJCAI 2023
Resolving Class Imbalance for LiDAR-Based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling WACV 2023
Semantic Segmentation With Active Semi-Supervised Learning WACV 2023
Why does Throwing Away Data Improve Worst-Group Error? ICML 2023
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation IJCAI 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023
Predicting Rare Events by Shrinking Towards Proportional Odds ICML 2023
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data ICCV 2023
Long-Tail Recognition via Compositional Knowledge Transfer CVPR 2022
Federated Class-Incremental Learning CVPR 2022