1 citations · 1 across the 3 of their papers we have counts for
3 papers
VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations
Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Sastry +3
Despite their remarkable successes, state-of-the-art language models face challenges in grasping certain important semantic details. This paper introduces the VISLA (Variance and I…
Test-Time Training for Depression Detection
Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher +1
Previous works on depression detection use datasets collected in similar environments to train and test the models. In practice, however, the train and test distributions cannot be…
Test-Time Training for Speech
Sri Harsha Dumpala, Chandramouli Sastry, Sageev Oore
In this paper, we study the application of Test-Time Training (TTT) as a solution to handling distribution shifts in speech applications. In particular, we introduce distribution-s…