Khaled Koutini

Orcid: 0000-0002-9193-732X

According to our database1, Khaled Koutini authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Rethinking data augmentation for adversarial robustness.
Inf. Sci., January, 2024

Dynamic Convolutional Neural Networks as Efficient Pre-Trained Audio Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge.
CoRR, 2024

2023
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets.
CoRR, 2023

Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Complexity Audio Embedding Extractors.
Proceedings of the 31st European Signal Processing Conference, 2023

Device-Robust Acoustic Scene Classification via Impulse Response Augmentation.
Proceedings of the 31st European Signal Processing Conference, 2023

Domain Information Control at Inference Time for Acoustic Scene Classification.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Efficient Training of Audio Transformers with Patchout.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Over-Parameterization and Generalization in Audio Classification.
CoRR, 2021

Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers.
Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021

2020
Receptive-Field Regularized CNNs for Music Classification and Tagging.
CoRR, 2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis.
CoRR, 2020

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping.
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.
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.
Proceedings of the 27th European Signal Processing Conference, 2019

Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification.
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.
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.
CoRR, 2018

Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017
MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach.
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


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