long-tail learning

Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation CVPR 2026 AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction ICCV 2025 Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning AAAI 2025 Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model ICCV 2025 Learning from Neighbors: Category Extrapolation for Long-Tail Learning CVPR 2025 RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering EMNLP 2025 Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation IJCAI 2025 AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation NeurIPS 2024 DLM: A Decoupled Learning Model for Long-tailed Polyphone Disambiguation in Mandarin NAACL 2024 Learning to Reject Meets Long-tail Learning ICLR 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NeurIPS 2024 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 Generalized test utilities for long-tail performance in extreme multi-label classification NeurIPS 2023 How Re-sampling Helps for Long-Tail Learning? NeurIPS 2023 Modeling the Distributional Uncertainty for Salient Object Detection Models CVPR 2023 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 Distributional Robustness Loss for Long-Tail Learning ICCV 2021 Fairness-aware Class Imbalanced Learning EMNLP 2021 From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors WACV 2021 Long-tail learning via logit adjustment ICLR 2021 Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision CVPR 2021 LVIS: A Dataset for Large Vocabulary Instance Segmentation CVPR 2019