Khaled Koutini

According to our database, Khaled Koutini authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 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

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

2023

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets.

Paul Primus, Khaled Koutini, Gerhard Widmer

CoRR, 2023

Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation.

Florian Schmid, Khaled Koutini, Gerhard Widmer

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Complexity Audio Embedding Extractors.

Florian Schmid, Khaled Koutini, Gerhard Widmer

Proceedings of the 31st European Signal Processing Conference, 2023

Device-Robust Acoustic Scene Classification via Impulse Response Augmentation.

Tobias Morocutti, Florian Schmid, Khaled Koutini, Gerhard Widmer

Proceedings of the 31st European Signal Processing Conference, 2023

Domain Information Control at Inference Time for Acoustic Scene Classification.

Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Efficient Training of Audio Transformers with Patchout.

Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.

Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

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

Over-Parameterization and Generalization in Audio Classification.

Khaled Koutini, Hamid Eghbal-zadeh, Florian Henkel, Jan Schlüter, Gerhard Widmer

CoRR, 2021

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

Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021

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

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

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping.

Khaled Koutini, Florian Henkel, Hamid Eghbal-Zadeh, Gerhard Widmer

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs.

Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-Zadeh, Gerhard Widmer

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 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

Proceedings of the 27th European Signal Processing Conference, 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

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification.

Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

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, 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

Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection.

Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach.

Khaled Koutini, Alina Imenina, Matthias Dorfer, Alexander Gruber, Markus Schedl

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017