AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 11 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
We introduce VideoMSN, a Masked Siamese Network framework for efficient self-supervised spatio-temporal representation learning in videos. Instead of relying on heavy 3D architectures or reconstruction-based autoencoders for learning with unlabeled data, we repurpose standard image Vision Transformers by representing v...
PRiSM is introduced, a class-prototype regularization that can be deployed as a plug and play module on top of any existing baseline method, significantly improving performances and introducing a more realistic benchmark that varies both the levels of class balance and the effective number of classes in few-shot tasks...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.