Search Results for author:
Found 2 papers, 0 papers with code
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Conclusion: We propose a framework for OOD detection and drift monitoring that is agnostic to data, modality, and model.
Deep Distilling: automated code generation using explainable deep learning
On a diverse set of problems involving arithmetic, computer vision, and optimization, we show that deep distilling generates concise code that generalizes out-of-distribution to solve problems orders-of-magnitude larger and more complex than the training data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
