2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.SE2023★ 2 cited
TASTY: A Transformer based Approach to Space and Time complexity
Kaushik Moudgalya, Ankit Ramakrishnan, Vamsikrishna Chemudupati +1
Code based Language Models (LMs) have shown very promising results in the field of software engineering with applications such as code refinement, code completion and generation. H…
eess.AS2023★ 1 cited
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications
Vamsikrishna Chemudupati, Marzieh Tahaei, Heitor Guimaraes +5
Large self-supervised pre-trained speech models have achieved remarkable success across various speech-processing tasks. The self-supervised training of these models leads to unive…