3 papers
cs.CV2026
Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study
Alexander Hackett, Srikanth Thudumu, Ginny Fisher +1
Extreme low-data fine-grained classification is common in expert domains where labeling is expensive, yet practitioners still need principled guidance for selecting pretrained enco…
cs.AI2025
OpenAg: Democratizing Agricultural Intelligence
Srikanth Thudumu, Jason Fisher
Agriculture is undergoing a major transformation driven by artificial intelligence (AI), machine learning, and knowledge representation technologies. However, current agricultural…
quant-ph2025
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu, Jason Fisher, Hung Du
Supervised Quantum Machine Learning (QML) represents an intersection of quantum computing and classical machine learning, aiming to use quantum resources to support model training…