31 citations · 44 across the 11 of their papers we have counts for
4 papers · 1 filter
Towards Building Text-To-Speech Systems for the Next Billion Users
Gokul Karthik Kumar, Praveen S, Pratyush Kumar +2
Deep learning based text-to-speech (TTS) systems have been evolving rapidly with advances in model architectures, training methodologies, and generalization across speakers and lan…
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
Faris Almalik, Mohammad Yaqub, Karthik Nandakumar
Vision Transformers (ViT) are competing to replace Convolutional Neural Networks (CNN) for various computer vision tasks in medical imaging such as classification and segmentation.…
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Naif Alkhunaizi, Dmitry Kamzolov, Martin Takáč +1
Collaboration among multiple data-owning entities (e.g., hospitals) can accelerate the training process and yield better machine learning models due to the availability and diversi…
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages
Gokul Karthik Kumar, Abhishek Singh Gehlot, Sahal Shaji Mullappilly +1
Accuracy of English-language Question Answering (QA) systems has improved significantly in recent years with the advent of Transformer-based models (e.g., BERT). These models are p…