Sepehr Dehdashtian

428 S Shaw Ln # 3208

East Lansing, MI 48824

Hi! I’m Sepehr, a PhD student in Computer Science at Michigan State University.

My research interests center around Invariant Representation Learning and specifically Fairness in Machine Learning models. I graduated from Sharif University of Technology with a Master of Science in Electrical Engineering.

I’m passionate about applying ML to real-world problems and am always looking to collaborate with other researchers. If you’re interested in discussing my research, feel free to reach out via email or social media. You can also find my CV, research papers, and other materials on this website!

news

Apr 01, 2024	Our paper on The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models has been accepted to FAccT 2024.
Feb 26, 2024	Our paper on Utility-Fairness Trade-Offs and How to Find Them has been accepted to CVPR 2024.
Jan 16, 2024	Our paper on FairerCLIP: Debiasing Zero‑Shot Predictions of CLIP in RKHSs has been accepted to ICLR 2024.

selected publications

Utility-Fairness Trade-Offs and How to Find Them

Sepehr Dehdashtian, Bashir Sadeghi , and Vishnu Boddeti

In Conference on Computer Vision and Pattern Recognition 2024 , Jun 2024

Bib HTML PDF

@inproceedings{dehdashtian2024utilityfairness,
  title = {Utility-Fairness Trade-Offs and How to Find Them},
  author = {Dehdashtian, Sepehr and Sadeghi, Bashir and Boddeti, Vishnu},
  booktitle = {Conference on Computer Vision and Pattern Recognition 2024},
  year = {2024},
  month = jun,
  url = {https://arxiv.org/abs/2404.09454},
  dimensions = {true},
}

FairerCLIP: Debiasing Zero‑Shot Predictions of CLIP in RKHSs

Sepehr Dehdashtian, Lan Wang , and Vishnu Boddeti

In The Twelfth International Conference on Learning Representations , May 2024

Bib HTML PDF Website

@inproceedings{dehdashtian2024fairvlm,
  title = {FairerCLIP: Debiasing Zero‑Shot Predictions of CLIP in RKHSs},
  author = {Dehdashtian, Sepehr and Wang, Lan and Boddeti, Vishnu},
  booktitle = {The Twelfth International Conference on Learning Representations},
  year = {2024},
  month = may,
  url = {https://openreview.net/forum?id=HXoq9EqR9e},
  dimensions = {true},
}

On Characterizing the Trade-off in Invariant Representation Learning

Bashir Sadeghi , Sepehr Dehdashtian, and Vishnu Boddeti

Transactions on Machine Learning Research, May 2022

Featured Certification

Bib HTML PDF

@article{sadeghi2022on,
  title = {On Characterizing the Trade-off in Invariant Representation Learning},
  author = {Sadeghi, Bashir and Dehdashtian, Sepehr and Boddeti, Vishnu},
  journal = {Transactions on Machine Learning Research},
  issn = {2835-8856},
  year = {2022},
  url = {https://openreview.net/forum?id=3gfpBR1ncr},
  note = {Featured Certification},
  dimensions = {true},
}