Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Applying to CS Ph.D. Programs
Published:
BERTology Transfer Learning in Natural Language Processing
Published:
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| BERT: Google AI |
IIT-Patna Academic Alexa
Published:
Unlabeled Data for Adversarial Robustness
Published:
Effect of adversarial perturbations on natural input - Misclassification of an image (which hasn’t changed in human’s perspective)
Mathematics for ML and DL
Published:
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Dynamic Memory Networks for NLP
Published:
Details: Spoke about the DMN architecture and its uses in general tasks in Natural Language Processing like Question Answering, Novelty Detection.
Machine Learning Sessions
Published:
Date: 30th September 2019, 11th March 2020, 27th May 2020
Details: Part of DSC and NJACK Clubs -
- Introduced various branches of ML and DL applied to NLP, Computer Vision and Reinforcement Learning.
- Held sessions on solving a classification problem through SVM (Support Vector Machine) and a clustering problem through K-Means
Explore ML Workshop DSC IIT-Patna
Published:
Details: Two-day workshop powered by Google AI.
* Introduced students of IIT-Patna to the basics of Machine Learning and Neural Networks.
* Initiated brainstorming activities through discussion of real-world applications of ML.
Link
Entrepreneurship Talks
Published:
Succeeding in Building and Pursuing a Career in Startups
Date: 14th March, 2021
Speaker: Ms. Nistha Tripathi, CEO Scholar Strategy and author of bestselling entrepreneurial book “No Shortcuts”
Details: Expert Talk Series, E-Summit-2021, IIT-P
Talk on drawing inspirations from successful startups and developing an entrepreneurial mindset.
Njack Machine Learning Workshop 2
Published:
Competitive Machine Learning Session
Details: Taught students about the general pipeline of approaching and solving a typical ML problem taken from Kaggle. Introduced students to various libraries like Numpy, Pandas and Matplotlib.
Link
Co-Speakers: Akshat Porwal, Aditya Samantaroy, Gul Jain
Njack Machine Learning Workshop 1
Published:
Research Session: Introduction to Deep Learning
Details: Introduced the concept of neurons, neural layers, and collectively the working on neural networks. Introduced concepts of gradient descent and backpropogation. Demonstrated working of simple neural networks.
Link
Co-Speakers: Akshat Porwal, Sushant Sinha
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.