3 papers
cs.LG2025
Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing
Jacob Glenn Ayers, Buvaneswari A. Ramanan, Manzoor A. Khan
As the adoption of deep learning models has grown beyond human capacity for verification, meta-algorithms are needed to ensure reliable model inference. Concept drift detection is…
cs.LG2024
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs
Harsh Patel, Buvaneswari A. Ramanan, Manzoor A. Khan +3
This paper explores the possibilities of the current generation of Large Language Models for incorporating Machine Learning Operations (MLOps) functionalities into ML training code…
cs.LG2022
Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps
Sumedh A Sontakke, Buvaneswari Ramanan, Laurent Itti +1
Out-of-distribution detection is an important capability that has long eluded vanilla neural networks. Deep Neural networks (DNNs) tend to generate over-confident predictions when…