2 papers
cs.CV2024
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
Rishi Singhal, Srinath Srinivasan
OOD detection has become more pertinent with advances in network design and increased task complexity. Identifying which parts of the data a given network is misclassifying has bec…
cs.CL2023
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models
Satya Sai Srinath Namburi, Makesh Sreedhar, Srinath Srinivasan +1
Compressing large language models (LLMs), often consisting of billions of parameters, provides faster inference, smaller memory footprints, and enables local deployment. Two standa…