nsa-id
UnderstandingandExploringtheNetworkwith StochasticArchitectures
The predictions provided by different architectures can be further assembled or used to calculate uncertainty estimates, making the prediction model more accurate,robust,andcalibrated.
Country:
- Asia > China > Beijing > Beijing (0.04)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.95)
Supplementary Material for: Understanding and Exploring the Network with Stochastic Architectures
In this section, we plot the 5 randomly sampled architectures used in NSA-id in Sec. 5. Figure 1, the 5 architectures are distinct from each other. We provide more results for the training and test behaviour of vanilla NSA and NSA-i in this section. Figure 5: Five randomly sampled architectures used in NSA-id in Sec. 5. The training architecture space consists of 50000 samples. The training architecture space consists of 50000 samples.