Search Results for author: Abhinav Mathur

Found 5 papers, 0 papers with code

Towards Reasoning-Aware Explainable VQA

no code implementations9 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.

Explanation Generation Question Answering +2

Variational Inference for Category Recommendation in E-Commerce platforms

no code implementations15 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.

Variational Inference

EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping

no code implementations12 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.

Answer Generation Open-Domain Question Answering +1

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