class imbalance
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng
In practice, however, such biased training data are commonly encountered.
Country:
- North America > Canada (0.04)
- Europe > Hungary (0.04)
- Asia > Macao (0.04)
- Asia > China > Shaanxi Province > Xi'an (0.04)
Genre:
- Research Report (0.68)
- Workflow (0.46)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
Technology:
ConstrainedOptimizationtoTrainNeuralNetworks onCriticaland Under-RepresentedClasses
Asaconsequence, removing theerror P would reduce theloss more than removing the error N. Moreover, it is clear that this difference in error weighing increases withthelevelofimbalance between theclasses.
Country:
- Europe > Switzerland > Zürich > Zürich (0.04)
- North America > United States (0.04)
Industry:
- Health & Medicine > Therapeutic Area > Oncology (1.00)
- Health & Medicine > Diagnostic Medicine > Imaging (0.68)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Performance Analysis > Accuracy (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- (2 more...)
Country:
- North America > Canada > Ontario > Toronto (0.04)
- North America > Canada > British Columbia (0.04)
Genre:
- Research Report > New Finding (1.00)
- Research Report > Experimental Study (1.00)
Technology:
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Inductive Learning (0.69)
Country:
- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > Florida > Orange County > Orlando (0.04)
- Asia > India > Telangana > Hyderabad (0.04)
Industry:
- Information Technology > Security & Privacy (1.00)
- Government (1.00)
Technology:
- Information Technology > Security & Privacy (1.00)
- Information Technology > Data Science > Data Mining (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
Country:
- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.14)
- North America > United States > Texas (0.04)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- (2 more...)
Technology:
Country:
- North America > United States > California > San Francisco County > San Francisco (0.14)
- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > California > Los Angeles County > Long Beach (0.04)
- (4 more...)
Technology: