Search Results for author:
Found 2 papers, 0 papers with code
Multimodal contrastive learning for remote sensing tasks
Self-supervised methods have shown tremendous success in the field of computer vision, including applications in remote sensing and medical imaging.
Predicting the success of Gradient Descent for a particular Dataset-Architecture-Initialization (DAI)
Despite their massive success, training successful deep neural networks still largely relies on experimentally choosing an architecture, hyper-parameters, initialization, and training mechanism.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
