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long-tailed distribution

159 papers

Papers

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning AAAI 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data AAAI 2025 SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection CVPR 2025 SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark ICLR 2025 SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025 Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation IJCAI 2025 The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection IJCAI 2025 Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions WACV 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning CVPR 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition NeurIPS 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024 Distribution-Independent Cell Type Identification for Single-Cell RNA-seq Data IJCAI 2024 Double-Bounded Optimal Transport for Advanced Clustering and Classification AAAI 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition ACL 2024 Long-Tailed Anomaly Detection with Learnable Class Names CVPR 2024 Long-tailed Diffusion Models with Oriented Calibration ICLR 2024