Shahed Masoudian

According to our database, Shahed Masoudian authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Importance of Cognitive Biases in the Recommendation Ecosystem.

Markus Schedl, Oleg Lesota, Stefan Brandl, Mohammad Lotfi, Gustavo Junior Escobedo Ticona, Shahed Masoudian

CoRR, 2024

Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems.

Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, Markus Schedl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily.

Markus Schedl, Oleg Lesota, Shahed Masoudian

Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization.

Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters.

Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale.

Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Domain Information Control at Inference Time for Acoustic Scene Classification.

Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz

Proceedings of the 31st European Signal Processing Conference, 2023

Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks.

Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.

Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers.

Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer

Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021