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deeplearning-papernotes's Introduction

Hi there ๐Ÿ‘‹

I am a PhD student at the MURGe-Lab at the University of North Carolina - Chapel Hill, where I work with Prof. Mohit Bansal. My research goal is to make deep learning models learn continually on multiple domains. I am interested in exploiting sparsity, modularity, memory, and routing for continual learning. Previously, I have worked on a diverse set of topics, (1) deep learning methods for Graph and Hypergraph structured data and their application to NLP, (2) estimated and controlled for uncertanity in the learned representations from these methods, (3) worked on Bayesian modeling of temporal data and (4) compositional reasoning in NLP.

Over the past few years, I have been fortunate to work with Prof. Partha Talukdar at MALL-Lab at Indian Institute of Science (IISc) Bangalore, with Dr. Prateek Jain at Microsoft Research India and with Prof. Arun Rajkumar at Indian Institute of Technology, Madras. I also worked for a year with some amazing people at LinkedIn AI Bangalore. Before all this, I completed my undergraduate degree in pure mathematics in 2018 from IISc Bangalore where I was supervised by Prof. Partha Talukdar.

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