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Posts

Modelling Selective Attention With Neural Networks

less than 1 minute read

Published:

In computer science, attention mechanisms in models are designed to be allocated different weights to relevant input information and ignore irrelevant information with low-valued weights. However, the connection between computer science models and psychology is still loose and broad. In this post, the bridge between attention modeling in neuroscience and Computer science is discussed.

Adversarial Machine Learning

less than 1 minute read

Published:

In this post, I discuss Adversarial Machine Learning, White Box Attacks, and Attacks on NLP using Universal Adversarial trigger. The post discusses the following paper : Wallace, Eric, et al. “Universal adversarial triggers for attacking and analyzing NLP (2019)

Research publications in Computer Science

2 minute read

Published:

Publishing is a very critical component for a researcher to must embrace and support the other researchers’ life and advance the scientific age. Publications are a form of expression and communication in academia. With this blog, I will iterate through the various critical stages of working in research and getting a successful publication.

FlaiReddit

3 minute read

Published:

FlaiReddit is a text classification webapp deployed on Heroku which detects the ‘flair’ tags of a Reddit Post from the subreddit r/india. This project consists all major steps important to any applied machine learning pipeline - Data Collection, Processing, Optimized Classifier, Deployment.

portfolio

publications

talks

IEEE - CS Research Discussion

Published:

I am a second-year Computer Science Undergrad at BITS Pilani. Recently, I published a paper in SemEval 2020. IEEE hosted a discussion on research in computer science. I will present my work and discuss research in Machine Learning and Computer Science in general, followed by a QnA Section. The extended discussion for this talk will be set up by IEEE for students from BITS.

teaching

Teaching Assistant, CSF111: Computer Programming

Teaching Assistant, Birla Institute of Technology and Sciences, 2020

I was the teaching assistant for the graded course CSF111, conducted by Birla Institute of Technology and Sciences (January 2020 - July 2020). This is a 4-unit course with a lab component for first-year candidates. As a teaching assistant, I mentored over 1000 students, solved their doubts related to general programming in C and Shell, conducted and evaluated labs as a part of the college curriculum.

QSTP ‘Introduction to Deep Learning’

College Workshop, BITS Goa, Quark Controls, 2020

I am an instructor for the course conducted by Quark Controls during Summers, 2020. This is an introductory course to Deep Learning, Natural Language Processing, Computer Vision and, Reinforcement Learning. As a part of this course, I mentored over 150 students and took doubt sessions and moderating and evaluated assignments as and reference material as a part of this course.

Teaching Assistant, CSF469: Information Retrieval

Teaching Assistant, Birla Institute of Technology and Sciences, 2020

I will be the teaching assistant to Dr. Swati Agarwal for the graded course CSF469: Information Retrieval, conducted by Birla Institute of Technology and Sciences (Aug 2020 - Dec 2020). This is a 3-unit course with a lab component for junior and senior year students.

Teaching Assistant, BITS F464: Machine Learning

Teaching Assistant, Birla Institute of Technology and Sciences, 2021

I will be the teaching assistant to Dr. Ashwin Srinivasan and Prof. Tirthraj Dash for the graded course BITS F464: Machine Learning, conducted by Birla Institute of Technology and Sciences (Jan 2021 - May 2021). I will be conducting labs and assignments as a part of the course.

BITS BIRAC BioNEST 21 Tech Mentor

College Project Funding, BITS Goa, Center For Technical Education, 2021

I was the mentor for BIONEST conducted in a joint collaboration of BITS and BIRAC, assisting Prof. Mridula Goel to mentor, provide insights, and guidance to the team.