long-tailed learning

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning CVPR 2026 Decision Boundary-aware Generation for Long-tailed Learning CVPR 2026 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction CVPR 2026 Reframing Long-Tailed Learning via Loss Landscape Geometry CVPR 2026 Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning AAAI 2026 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels ICCV 2025 From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning CVPR 2025 BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning CVPR 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NeurIPS 2024 EAT: Towards Long-Tailed Out-of-Distribution Detection AAAI 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024 Long-Tailed Learning as Multi-Objective Optimization AAAI 2024 Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition IJCAI 2024 Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NeurIPS 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NeurIPS 2023 Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions CVPR 2023 Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023 Local and Global Logit Adjustments for Long-Tailed Learning ICCV 2023 Long-Tailed Partial Label Learning via Dynamic Rebalancing ICLR 2023 MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition AAAI 2023 No One Left Behind: Improving the Worst Categories in Long-Tailed Learning CVPR 2023 Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023