Working at Mila

Being surrounded by hundreds of AI researchers at Mila creates an exceptional environment to develop ideas and make new friends!

What I like working on

I like working on responsible AI-related topics, such as developing novel and efficient social bias mitigation methods and studying harms like hate speech and hallucination. Given the limitations of bias metrics, I am also interested in introducing better fairness assessment techniques.

Publications

Should we attend more or less? modulating attention for fairness

A. Zayed, Goncalo Mordido, Samira Shabanian, Sarath Chandar
1st Conference on Language Modeling (COLM 2024)
TL;DR: We show that bias can be mitigated by focusing on a wider/narrower context.
[arXiv]
Why Don’t Prompt-Based Fairness Metrics Correlate?

A. Zayed, Goncalo Mordido, Ioana Baldini, Sarath Chandar
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
TL;DR: We explain why fairness metrics don't correlate and propose CAIRO to make them correlate.
[arXiv] [slides] [video] [longer video]
Fairness-Aware Structured Pruning in Transformers

A. Zayed, Goncalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
The thirty-eighth Association for the Advancement of Artificial Intelligence (AAAI 2024)
TL;DR: We show that certain attention heads are responsible for bias and pruning them improves fairness.
[arXiv] [slides] [video]
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness

A. Zayed, Prasanna Parthasarathi, Goncalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
The thirty-seventh Association for the Advancement of Artificial Intelligence (AAAI 2023)
TL;DR: We quantify the contribution of each training example to fairness, and choose the best training examples to reduce bias.
[arXiv] [slides] [video] [blog]
Ultrasound Elastography using Machine Learning
A. Zayed
Master's Thesis, 2020
[Link]
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning
A. Zayed and H. Rivaz
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC), 2020
[Link] [code]
Automatic Frame Selection using CNN in Ultrasound Elastography
A. Zayed, G. Cloutier and H. Rivaz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2020
[arXiv]
Rapid Quantification of White Matter Disconnection in the Human Brain
A. Zayed, Y. Iturria-Medina, A. Villringer, B. Sehm and C. Steele
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2020
[arXiv]
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography
A. Zayed and H. Rivaz
International Conference on Image Analysis and Recognition (ICIAR), 2019
[arXiv]
Fast approximate time-delay estimation in ultrasound elastography using principal component analysis
A. Zayed and H. Rivaz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2019
[arXiv]