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Found 3 papers, 1 papers with code
Enhancing Epileptic Seizure Detection with EEG Feature Embeddings
Here, we propose to enhance the seizure detection performance by learning informative embeddings of the EEG signal.
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
For this purpose, we first demonstrate that the existing model-based methods can be equivalent to applying smaller perturbation or optimization weights to the hard training examples.
Your Out-of-Distribution Detection Method is Not Robust!
Therefore, unlike OOD detection in the standard setting, access to OOD, as well as in-distribution, samples sounds necessary in the adversarial training setup.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
