AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
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 study introduces ClustRS, a two-part, training-free algorithm for robust token pruning, demonstrating a simple yet powerful alternative to both score-only and diversity-only pruning rules, paving the way for compute-efficient and noise-resilient VLM deployment.
This work introduces a method that maintains near-baseline accuracy, induces usage-based modularity by sparsely routing inputs to neuron groups, and encourages specialization of these modules, such that their activations are correlated with input classes.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.