Sample Selection via Contrastive Fragmentation for Noisy Label Regression Chris Dongjoo Kim
–Neural Information Processing Systems
We also introduce a metric called Error Residual Ratio (ERR) to better account for varying degrees of label noise.
Neural Information Processing Systems
Oct-10-2025, 19:51:34 GMT
- Country:
- Asia
- Middle East > Jordan (0.04)
- South Korea > Seoul
- Seoul (0.04)
- Europe
- Switzerland > Basel-City
- Basel (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Greater London > London (0.04)
- Switzerland > Basel-City
- Asia
- Genre:
- Overview (1.00)
- Research Report
- Experimental Study (1.00)
- New Finding (0.67)
- Industry:
- Banking & Finance (0.92)
- Health & Medicine > Therapeutic Area (0.67)
- Information Technology (0.67)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (0.68)
- Statistical Learning (1.00)
- Natural Language (0.92)
- Representation & Reasoning (1.00)
- Vision (1.00)
- Machine Learning
- Communications (0.93)
- Data Science > Data Mining (1.00)
- Artificial Intelligence
- Information Technology