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ORCIDShahed Masoudian
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2020 – today
- 2024
[c7]Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz:
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. ACL (Findings) 2024: 11743-11776- [c6]Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz:
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. EACL (1) 2024: 2434-2453 - [c5]Alessandro B. Melchiorre
, Shahed Masoudian, Deepak Kumar, Markus Schedl:
Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems. ECML/PKDD (1) 2024: 56-72 - [i6]Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz:
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. CoRR abs/2401.16457 (2024) - [i5]Markus Schedl, Oleg Lesota, Stefan Brandl, Mohammad Lotfi, Gustavo Junior Escobedo Ticona, Shahed Masoudian:
The Importance of Cognitive Biases in the Recommendation Ecosystem. CoRR abs/2408.12492 (2024) - [i4]Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl:
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization. CoRR abs/2409.19541 (2024) - 2023
- [c4]Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz:
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. ACL (Findings) 2023: 6192-6214 - [c3]Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz:
Domain Information Control at Inference Time for Acoustic Scene Classification. EUSIPCO 2023: 181-185 - [i3]Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz:
Domain Information Control at Inference Time for Acoustic Scene Classification. CoRR abs/2306.08010 (2023) - [i2]Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz:
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. CoRR abs/2310.01217 (2023) - 2022
- [c2]Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer:
Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification. DCASE 2022 - [i1]Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers. CoRR abs/2211.13956 (2022) - 2021
- [c1]Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer:
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. HEAR@NeurIPS 2021: 65-89
Coauthor Index
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