I’m a research assistant at Johannes Kepler University. I studied my master at JKU focusing on unsupervised deep domain adaptation method. My curent research is Deep Learning in Natural Language Processing with focus on Modularity and Controllability of Neural Networks.
Shahed Masoudian
University Assistant
The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily
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
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), 2024
Best Student Paper Award
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
Findings of the Association for Computational Linguistics ACL 2024, 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters
The 18th Conference of the European Chapter of the Association for Computational Linguistics March 17-22, 2024, 2024
Domain Information Control at Inference Time for Acoustic Scene Classification
31st European Signal Processing Conference, (EUSIPCO) 2023, Helsinki,Finland, September 4-8, 2023, 2023
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Findings of the Association for Computational Linguistics: ACL 2023, 2023
