This is a decommissioned version of ERA which is running to enable completion of migration processes. All new collections and items and all edits to existing items should go to our new ERA instance at https://ualberta.scholaris.ca - Please contact us at erahelp@ualberta.ca for assistance!
Search
Skip to Search Results
Filter
Author / Creator / Contributor
Subject / Keyword
Year
Collections
Languages
Item type
Departments
Supervisors
-
Budgeted Gradient Descent: Selective Gradient Optimization for Addressing Misclassifications in DNNs
DownloadFall 2024
Artificial neural networks have become a popular learning approach for theirability to generalize well to unseen data. However, misclassifications can still occur due to various data-related issues, such as adversarial inputs, out-of-distribution samples, and model-related challenges, such as...
1 - 1 of 1