Text Segmentation for Long Document Understanding
Can a Simple Text Segmentation Step Improve Transformer Models on Long Documents?
Posts by Collection
portfolio
Learning to Rank Hotels
Benchmarking Deep Learning Methods in Recommender Systems
Style Transfer for Professional Photographic Edits
Can Neural Nets Speed Up Photo Editing?
Data for Justice
Prosecutorial Fairness
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
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Optimization and Computational Linear Algebra
DSGA 1014, NYU Center for Data Science, 2020
Description
Despite the name, this class is an proof-based linear algebra class taught at the graduate level. We emphasize fundamental linear algebra (rank-nullity theorem, eigenvalues, SVD), and applications of linear algebra in data science, including PCA, linear regression, and gradient descent. Previous experience with basic linear algebra at the undergraduate level is assumed.
Useful Links:
Class website
Class github
My recitation materials