12 citations · 12 across the 3 of their papers we have counts for
3 papers
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
Prashant Pandey, Aleti Vardhan, Mustafa Chasmai +2
Few-shot Learning (FSL) methods are being adopted in settings where data is not abundantly available. This is especially seen in medical domains where the annotations are expensive…
ExCode-Mixed: Explainable Approaches towards Sentiment Analysis on Code-Mixed Data using BERT models
Aman Priyanshu, Aleti Vardhan, Sudarshan Sivakumar +2
The increasing use of social media sites in countries like India has given rise to large volumes of code-mixed data. Sentiment analysis of this data can provide integral insights i…
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…