2 papers
cs.AI2026
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Minghao Liu, Zonglin Di, Jiaheng Wei +15
Large-scale data collection is essential for developing personalized training data, mitigating the shortage of training data, and fine-tuning specialized models. However, creating…
cs.LG2025
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
Qi Wei, Lei Feng, Haobo Wang +1
Learning with noisy labels aims to ensure model generalization given a label-corrupted training set. The sample selection strategy achieves promising performance by selecting a lab…