Co-occurring keywords · papers mentioning both
Papers
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
AAAI 2026
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
ICML 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
AAAI 2025
Take the Bull by the Horns: Learning to Segment Hard Samples
CVPR 2025
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
ICML 2024
Hard Sample-Aware Consistency for Low-Resolution Facial Expression Recognition
WACV 2024
Hard Sample Aware Prompt-Tuning
ACL 2023
Hard Sample Matters a Lot in Zero-Shot Quantization
CVPR 2023
Efficient Sample Mining for Object Detection
ACML 2014