no code implementations • 9 Nov 2022 • Rakesh Vaideeswaran, Feng Gao, Abhinav Mathur, Govind Thattai
Our method generates human-readable textual explanations while maintaining SOTA VQA accuracy on the GQA-REX (77. 49%) and VQA-E (71. 48%) datasets.
no code implementations • 15 Feb 2022 • Cristian-Paul Bara, Qing Ping, Abhinav Mathur, Govind Thattai, Rohith MV, Gaurav S. Sukhatme
We introduce a novel privacy-preserving methodology for performing Visual Question Answering on the edge.
no code implementations • 15 Apr 2021 • Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur, Sushant Kumar, Kannan Achan
Category recommendation for users on an e-Commerce platform is an important task as it dictates the flow of traffic through the website.
no code implementations • 2 Dec 2020 • Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan
Recommender Systems have become an integral part of online e-Commerce platforms, driving customer engagement and revenue.
no code implementations • 12 Nov 2019 • Abhishek Agarwal, Nikhil Sachdeva, Raj Kamal Yadav, Vishaal Udandarao, Vrinda Mittal, Anubha Gupta, Abhinav Mathur
Most of the existing question answering models can be largely compiled into two categories: i) open domain question answering models that answer generic questions and use large-scale knowledge base along with the targeted web-corpus retrieval and ii) closed domain question answering models that address focused questioning area and use complex deep learning models.