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How to Undergrad
As I end my undergraduate journey, it’s hard to not feel nostalgic, especially amid this sad pandemic because of which this journey was shortened by nearly 3.5 months. It was,...
An Introduction to Multi-Armed Bandits and Markov Decison Processes
I took the course Foundations of Intelligent and Learning Agents in Autumn 2019 offered by Prof. Shivaram Kalyanakrishnan at IIT Bombay. I found the course content very exciting and decided...
Batch Arm Pulls for Stochastic Multi-Armed Bandits
I took the course Advanced Concentration Inequalities in Autumn 2019 offered by Prof. Sharayu Moharir at IIT Bombay. This is a blog post about the work I did for the...
Voice Conversion using GANs: An Extensive Review
For my project on code-mixed speech recognition with Prof. Preethi Jyothi, I did a literature review of voice conversion and found a lot of recent papers that used GANs for...
Compressed Sensing and Dictionary Learning for Video Capturing
I took the course Recent Topics is Analytical Signal Processing in Spring 2019 offered by Prof. Animesh Kumar at IIT Bombay. This is a blog post about the work I...
Semantic Image Inpainting for Medical Images with Deep Generative Models
I took the course Medical Image Computing in Spring 2019 offered by Prof. Suyash Awate at IIT Bombay. This is a blog post about the work I did for the...
Computer Graphics: Music Box Modelling, Rendering and Animation
I took the course Computer Graphics in Autumn 2018 offered by Prof. Parag Chaudhuri at IIT Bombay. This is a blog post about the work I did for the course...
Tutorial on Attention-based Models (Part 2)
In part one of this series, I introduced the fundamentals of sequence-to-sequence models and attention-based models. I briefly mentioned two sequence-to-sequence models that don't use attention and then introduced soft-alignment...
Tutorial on Attention-based Models (Part 1)
Teaser: The task of learning sequential input-output relations is fundamental to machine learning and is especially of great interest when the input and output sequences have different lengths. Applications such...
projects
ALC3: Active Label Correction for Modular AI Systems
Novel method for improving LLM-based modular AI systems through iterative active label correction
Jill Watson: An LLM-based Virtual Teaching Assistant
A conversational AI teaching assistant that enhances teaching and social presence in online learning environments
Protecting Human Cognition in the Age of AI
A study of frameworks to understand impact of AI on human cognition
MuDoC: A Multimodal Document-grounded Conversational AI System for Classrooms
An interactive and trustworthy AI system for students to study course material