Shahed Masoudian

19 papers A* 1A 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust Harmful Meme Detection under Missing Modalities via Shared Representation Learning.
CoRR
Felix Breiteneder, Mohammad Belal, Muhammad Saad Saeed, Shahed Masoudian, Usman Naseem, Juhi Kulshrestha, Markus Schedl, Shah Nawaz
2025 J jnl
Investigating Gender Bias in LLM-Generated Stories via Psychological Stereotypes.
CoRR
Shahed Masoudian, Gustavo Escobedo, Hannah Strauß, Markus Schedl
2025 A conf
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation.
RecSys
Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2025 J jnl
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation.
CoRR
Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2024 — conf
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters.
EACL (1)
Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
2024 J jnl
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters.
CoRR
Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
2024 — conf
Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems.
ECML/PKDD (1)
Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, Markus Schedl
2024 — conf
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale.
ACL (Findings)
Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz
2024 J jnl
The Importance of Cognitive Biases in the Recommendation Ecosystem.
CoRR
Markus Schedl, Oleg Lesota, Stefan Brandl, Mohammad Lotfi, Gustavo Junior Escobedo Ticona, Shahed Masoudian
2024 — conf
The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily.
IntRS@RecSys
Markus Schedl, Oleg Lesota, Shahed Masoudian
2024 A* conf
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization.
EMNLP
Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
2024 J jnl
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization.
CoRR
Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
2023 — conf
Domain Information Control at Inference Time for Acoustic Scene Classification.
EUSIPCO
Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
2023 J jnl
Domain Information Control at Inference Time for Acoustic Scene Classification.
CoRR
Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
2023 — conf
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks.
ACL (Findings)
Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz
2023 J jnl
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale.
CoRR
Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz
2022 — conf
Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.
DCASE
Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer
2022 J jnl
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers.
CoRR
Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer
2021 — conf
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers.
HEAR@NeurIPS
Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer