Associated with the Linz Institute of Technology and the Institute of Computational Perception @ JKU Linz, Austria

Navid Rekab-saz

Navid Rekab-saz

I am an assistant professor at Johannes Kepler University - JKU. Prior to it, I was a post doctoral researcher at Idiap Research Institute (affiliated with EPFL), and a PhD candidate at TU Wien. I explore deep learning methods in natural language processing and information retrieval, with a focus on fairness and algorithmic bias mitigation.


Publications

Peer-Reviewed Journal and Conference Papers

UnlearningAdversarial screenshot

Christian Ganhör, David Penz, Navid Rekab-saz, Oleg Lesota, Markus Schedl
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022

ProtoMF screenshot

Alessandro B. Melchiorre, Navid Rekab-saz, Christian Ganhör, Markus Schedl
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations
ACM Conference on Recommender Systems (RecSys), 2022

DeepGenIR screenshot

Oleg Lesota, Navid Rekab-saz, Daniel Cohen , Klaus Antonius Grasserbauer , Carsten Eickhoff , Markus Schedl
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval, 2021