weight decay
Improving Robustness with Adaptive Weight Decay
Deep Neural Networks (DNNs) have exceeded human capability on many computer vision tasks.
Country:
- Asia > Middle East > Jordan (0.04)
- North America > United States > California > Santa Clara County > Cupertino (0.04)
Technology:
Country:
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- North America > United States > Texas (0.04)
- Europe > Italy > Calabria > Catanzaro Province > Catanzaro (0.04)
Industry:
Technology:
Country:
- North America > United States > Virginia (0.04)
- North America > United States > Maryland (0.04)
Technology:
Country:
- North America > United States > Illinois > Cook County > Chicago (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- Asia > Middle East > Israel > Jerusalem District > Jerusalem (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.94)
- Information Technology > Security & Privacy (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.72)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
Sharpness-Aware Minimization Leads to Low-Rank Features
Sharpness-aware minimization (SAM) is a recently proposed method that minimizes the sharpness of the training loss of a neural network.
Technology: