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Hi there πŸ‘‹

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.

Prateek Yadav's Projects

awesome-quant-1 icon awesome-quant-1

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

e0_270 icon e0_270

Repo. containing all assignment and project work related to Machine Learning Course at CSA IISc by Chiranjib Bhattacharya.

emc-cols-recourse icon emc-cols-recourse

Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

helpers icon helpers

This repo contains code for some of the useful functions which either make my life easier or make my programs faster or cleaner.

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python)

pravega2016 icon pravega2016

Code for the cultural, technical and science fest of Indian Institute of Science Bangalore. Coded and managed by Prateek Yadav

prmlt icon prmlt

Pattern Recognition and Machine Learning Toolbox

self-driving-cars icon self-driving-cars

Contains material and final presentation on the pros and cons of self driving cars.

skflow icon skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

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