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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
About me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
talks
NLP Introduction
Published:
slides - Gave a basic introduction to Natural Language Processing (NLP), related problems, data representation for deep learning and common deep learning models in the domain.
OpenAI DALL-E
Published:
slides - Talked about the technical details of OpenAI DALL-E, a text to image generation model able to combine unrelated concepts in plausible ways, anthropomorphize objects and animals, and render text in images.
Continual Test Time Adaptation
Published:
Talked about recent progresses in test-time adaptation and continual test-time adaptation.
Bayesian Network Structure Adaptation for Continual Learning
Published:
Presented our work “Bayesian Adaptation of Network Depth and Width for Continual Learning”
teaching
Mathematics For AI
Undergraduate course, fuseAI and Herald College, 2021
Instructed undergraduate course covering fundamental mathematics for machine learning, including Linear Algebra, Calculus, Probability and Statistics, and Information Theory.