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long-tailed distribution

142 papers

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Co-occurring keywords

class imbalance (555) representation learning (6206) object detection (2762) contrastive learning (4032) image classification (1944) multi-label classification (1009) visual recognition (184) data augmentation (3052) knowledge distillation (3725) semi-supervised learning (2341)

Papers

LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NIPS 2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation AAAI 2024
Semantic Transfer From Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition WACV 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery ACL 2024
Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions EACL 2023
Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels IJCAI 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution CVPR 2023
Balancing Logit Variation for Long-Tailed Semantic Segmentation CVPR 2023
Class-Balancing Diffusion Models CVPR 2023
Label-Noise Learning with Intrinsically Long-Tailed Data ICCV 2023
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels ICCV 2023
AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023
Combating Representation Learning Disparity with Geometric Harmonization NIPS 2023
Dynamic Re-Weighting for Long-Tailed Semi-Supervised Learning WACV 2023
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory ICCV 2023
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification AAAI 2023
Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis AAAI 2023
Long-Tailed Question Answering in an Open World ACL 2023
Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification ACL 2023
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective CVPR 2023
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection NIPS 2023
Towards Distribution-Agnostic Generalized Category Discovery NIPS 2023
Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition AAAI 2023