2 papers
cs.AI2024
Relation Modeling and Distillation for Learning with Noisy Labels
Xiaming Che, Junlin Zhang, Zhuang Qi +1
Learning with noisy labels has become an effective strategy for enhancing the robustness of models, which enables models to better tolerate inaccurate data. Existing methods either…
cs.LG2024
Comparative Study of Neighbor-based Methods for Local Outlier Detection
Zhuang Qi, Junlin Zhang, Xiaming Chen +1
The neighbor-based method has become a powerful tool to handle the outlier detection problem, which aims to infer the abnormal degree of the sample based on the compactness of the…