Search Results for author:
Found 1 papers, 1 papers with code
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
Classification problems solved with deep neural networks (DNNs) typically rely on a closed world paradigm, and optimize over a single objective (e. g., minimization of the cross-entropy loss).
Ranked #89 on
Image Classification
on CIFAR-100
(using extra training data)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
