3 citations · 3 across the 2 of their papers we have counts for
3 papers
eess.IV2019
On evaluating CNN representations for low resource medical image classification
Taruna Agrawal, Rahul Gupta, Shrikanth Narayanan
Convolutional Neural Networks (CNNs) have revolutionized performances in several machine learning tasks such as image classification, object tracking, and keyword spotting. However…
cs.LG2019★ 3 cited
Data augmentation for low resource sentiment analysis using generative adversarial networks
Rahul Gupta
Sentiment analysis is a task that may suffer from a lack of data in certain cases, as the datasets are often generated and annotated by humans. In cases where data is inadequate fo…
cs.CL2018
A Re-ranker Scheme for Integrating Large Scale NLU models
Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan +1
Large scale Natural Language Understanding (NLU) systems are typically trained on large quantities of data, requiring a fast and scalable training strategy. A typical design for NL…