MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. - Khaled Koutini; Alina Imenina; Matthias Dorfer; Alexander Gruber; Markus Schedl (MediaEval, 2017)

Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection. - Khaled Koutini; Hamid Eghbal-zadeh; Gerhard Widmer (DCASE, 2018)

Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. - Hamid Eghbal-zadeh; Lukas Fischer 001; Niko Popitsch; Florian Kromp; Sabine Taschner-Mandl; Khaled Koutini; Teresa Gerber; Eva Bozsaky; Peter F. Ambros; Inge M. Ambros; Gerhard Widmer; Bernhard Alois Moser (CoRR, 2018)

Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Gerhard Widmer (DCASE, 2019)

Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. - Paul Primus; Hamid Eghbal-zadeh; David Eitelsebner; Khaled Koutini; Andreas Arzt; Gerhard Widmer (DCASE, 2019)

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Matthias Dorfer; Gerhard Widmer (EUSIPCO, 2019)

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. - Khaled Koutini; Shreyan Chowdhury; Verena Haunschmid; Hamid Eghbal-Zadeh; Gerhard Widmer (MediaEval, 2019)

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. - Khaled Koutini; Florian Henkel; Hamid Eghbal-Zadeh; Gerhard Widmer (DCASE, 2020)

On Data Augmentation and Adversarial Risk: An Empirical Analysis. - Hamid Eghbal-zadeh; Khaled Koutini; Paul Primus; Verena Haunschmid; Michal Lewandowski; Werner Zellinger; Bernhard Alois Moser; Gerhard Widmer (CoRR, 2020)

Receptive-Field Regularized CNNs for Music Classification and Tagging. - Khaled Koutini; Hamid Eghbal-Zadeh; Verena Haunschmid; Paul Primus; Shreyan Chowdhury; Gerhard Widmer (CoRR, 2020)

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 (HEAR@NeurIPS, 2021)

Over-Parameterization and Generalization in Audio Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Florian Henkel; Jan Schlüter; Gerhard Widmer (CoRR, 2021)

Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks. - Khaled Koutini; Hamid Eghbal-zadeh; Gerhard Widmer (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification. - Florian Schmid; Shahed Masoudian; Khaled Koutini; Gerhard Widmer (DCASE, 2022)

Efficient Training of Audio Transformers with Patchout. - Khaled Koutini; Jan Schlüter; Hamid Eghbal-zadeh; Gerhard Widmer (INTERSPEECH, 2022)

Domain Information Control at Inference Time for Acoustic Scene Classification. - Shahed Masoudian; Khaled Koutini; Markus Schedl; Gerhard Widmer; Navid Rekabsaz (EUSIPCO, 2023)

Device-Robust Acoustic Scene Classification via Impulse Response Augmentation. - Tobias Morocutti; Florian Schmid; Khaled Koutini; Gerhard Widmer (EUSIPCO, 2023)

Low-Complexity Audio Embedding Extractors. - Florian Schmid; Khaled Koutini; Gerhard Widmer (EUSIPCO, 2023)

Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation. - Florian Schmid; Khaled Koutini; Gerhard Widmer (ICASSP, 2023)

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets. - Paul Primus; Khaled Koutini; Gerhard Widmer (CoRR, 2023)

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. - Florian Schmid; Paul Primus; Toni Heittola; Annamaria Mesaros; Irene Martín-Morató; Khaled Koutini; Gerhard Widmer (CoRR, 2024)

Dynamic Convolutional Neural Networks as Efficient Pre-Trained Audio Models. - Florian Schmid; Khaled Koutini; Gerhard Widmer (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Rethinking data augmentation for adversarial robustness. - Hamid Eghbal-zadeh; Werner Zellinger; Maura Pintor; Kathrin Grosse; Khaled Koutini; Bernhard Alois Moser; Battista Biggio; Gerhard Widmer (Inf. Sci., 2024)

Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification. - Tobias Morocutti; Florian Schmid; Khaled Koutini; Gerhard Widmer (CoRR, 2025)