11 citations · 15 across the 2 of their papers we have counts for
3 papers
MCQA: Multimodal Co-attention Based Network for Question Answering
Abhishek Kumar, Trisha Mittal, Dinesh Manocha
We present MCQA, a learning-based algorithm for multimodal question answering. MCQA explicitly fuses and aligns the multimodal input (i.e. text, audio, and video), which forms the…
Bayesian Structure Adaptation for Continual Learning
Abhishek Kumar, Sunabha Chatterjee, Piyush Rai
Continual Learning is a learning paradigm where learning systems are trained with sequential or streaming tasks. Two notable directions among the recent advances in continual learn…
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati +4
Developing accurate, transferable and computationally inexpensive machine learning models can rapidly accelerate the discovery and development of new materials. Some of the major c…