I am happy to announce that our paper entitled, “ReLESS: A framework for assessing safety in Deep Learning systems,” has been nominated for a best paper award at AI Safety ’24! Congrats to Nan and Anita. It’s Nan’s first workshop paper!
Pages
Recent News
- Best paper award nomination at AISafety
- Paper on reliably refactoring Deep Learning systems accepted at AISafety ’24
- Program committee (PC) member for ASE ’24
- Multiple fully-funded Ph.D. student positions in combating technical debt in Machine Learning (ML) systems in New York City
- Received three-year NSF research grant on combating technical debt in Machine Learning systems as PI
- Program committee (PC) member for ICSE ’25
- Tatiana presenting on DL refactoring at ASE ’23
- Slides for ASE ’23 NIER paper on imperative Deep Learning refactoring now available
- Preprint of ASE ’23 DL refactoring paper now available
- Tatiana to present at the ASE 2023 doctoral forum
Subscribe
Archives
Categories
Tags
2022
2023
acm
ase
aspect-oriented programming
automated refactoring
automatic parallelization
award
computer science
conference
cuny
deep learning
default methods
eclipse
empirical software engineering
empirical study
esec/fse
grant
grants
icse
ieee
java
java 8
machine learning
new paper
new student
new york city
nsf
office hours
plugin
poster
preprint
program committee member
programming languages
refactoring
research
reviewer
slides
software engineering
splash
streams
students
summer research
talk
tool demonstrations
![Attribution-NonCommercial-ShareAlike 4.0 International](https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png)
Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.