| CP-JKU submission to dcase22: Distilling knowledge for low-complexity convolutional neural networks from a patchout audio transformer F Schmid, S Masoudian, K Koutini, G Widmer Tech. Rep., Detection and Classification of Acoustic Scenes and Events …, 2022 | 34 | 2022 |
| Cp-jku submission to dcase23: Efficient acoustic scene classification with cp-mobile F Schmid, T Morocutti, S Masoudian, K Koutini, G Widmer Tech. Rep., DCASE2023 Chal-lenge, Tech. Rep, 2023 | 22 | 2023 |
| Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification. F Schmid, S Masoudian, K Koutini, G Widmer DCASE, 2022 | 21 | 2022 |
| Modular and on-demand bias mitigation with attribute-removal subnetworks L Hauzenberger, S Masoudian, D Kumar, M Schedl, N Rekabsaz arXiv preprint arXiv:2205.15171, 2022 | 18 | 2022 |
| Distilling the knowledge of transformers and CNNs with CP-mobile F Schmid, T Morocutti, S Masoudian, K Koutini, G Widmer Proceedings of the Detection and Classification of Acoustic Scenes and …, 2023 | 13 | 2023 |
| Learning general audio representations with large-scale training of patchout audio transformers K Koutini, S Masoudian, F Schmid, H Eghbal-zadeh, J Schlüter, G Widmer HEAR: Holistic Evaluation of Audio Representations, 65-89, 2022 | 7 | 2022 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters S Masoudian, C Volaucnik, M Schedl, N Rekabsaz arXiv preprint arXiv:2401.16457, 2024 | 6 | 2024 |
| Effective controllable bias mitigation for classification and retrieval using gate adapters (2024) S Masoudian, C Volaucnik, M Schedl, S Masoudian CoRR, abs/2401.16457, 0 | 5 | |
| Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems AB Melchiorre, S Masoudian, D Kumar, M Schedl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 2 | 2024 |
| Simulation-assisted training of neural networks for condition monitoring of electrical drives: Approach and proof of concept E Marth, P Zorn, F Schmid, S Masoudian, K Koutini, W Amrhein IKMT 2022; 13. GMM/ETG-Symposium, 1-7, 2022 | 2 | 2022 |
| ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale M Frohmann, C Holtermann, S Masoudian, A Lauscher, N Rekabsaz arXiv preprint arXiv:2310.01217, 2023 | 1 | 2023 |
| Simulation-assisted Training of Neural Networks for Condition Monitoring of Electrical Drives: Enhanced Domain Adaptation Methods F Schmid, S Masoudian, E Marth, P Zorn, K Koutini, G Widmer IKMT 2022; 13. GMM/ETG-Symposium, 1-7, 2022 | 1 | 2022 |
| Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization S Masoudian, M Frohmann, N Rekabsaz, M Schedl arXiv preprint arXiv:2409.19541, 2024 | | 2024 |
| The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily M Schedl, O Lesota, S Masoudian | | 2024 |
| Domain Information Control at Inference Time for Acoustic Scene Classification S Masoudian, K Koutini, M Schedl, G Widmer, N Rekabsaz 2023 31st European Signal Processing Conference (EUSIPCO), 181-185, 2023 | | 2023 |
| From simulation to real world: a domain adaptation study/submitted by Shahed Masoudian S Masoudian | | 2022 |
Khaled KoutiniSonyAIPreverjeni e-poštni naslov na sony.com
