12 citations · 14 across the 3 of their papers we have counts for
3 papers
Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi
Devansh Mehta, Harshita Diddee, Ananya Saxena +8
The primary obstacle to developing technologies for low-resource languages is the lack of representative, usable data. In this paper, we report the deployment of technology-driven…
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models
Harshita Diddee, Sandipan Dandapat, Monojit Choudhury +2
Leveraging shared learning through Massively Multilingual Models, state-of-the-art machine translation models are often able to adapt to the paucity of data for low-resource langua…
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
Rakshit Naidu, Harshita Diddee, Ajinkya Mulay +3
In recent years, machine learning techniques utilizing large-scale datasets have achieved remarkable performance. Differential privacy, by means of adding noise, provides strong pr…