AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 77 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.
This paper introduces a prototype-guided modeling approach that leverages natural language prompts to represent confounders, transforming abstract biases into interpretable geometric anchors without auxiliary classifiers, a novel framework that mitigates spurious correlations by manipulating latent space geometry.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.