Search Results for author:
Found 2 papers, 1 papers with code
FAIR: Filtering of Automatically Induced Rules
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains.
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
The recent advances in Deep Neural Networks (DNNs) stem from their exceptional performance across various domains.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
