1 citations · 1 across the 3 of their papers we have counts for
3 papers
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
Ankur Mali, Lawrence Hall, Jake Williams +1
Activation functions govern the expressivity and stability of neural networks, yet existing comparisons remain largely heuristic. We propose a rigorous framework for their classifi…
Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images
Abhiram Kandiyana, Peter R. Mouton, Yaroslav Kolinko +2
Traditional deep learning-based methods for classifying cellular features in microscopy images require time- and labor-intensive processes for training models. Among the current li…
A Preliminary Study on Using Large Language Models in Software Pentesting
Kumar Shashwat, Francis Hahn, Xinming Ou +5
Large language models (LLM) are perceived to offer promising potentials for automating security tasks, such as those found in security operation centers (SOCs). As a first step tow…