Hamid Eghbal-zadeh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Audio Recordings

Convolutional Neural Networks

Scene Classification

Top Venues

Publications

Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer
Rethinking data augmentation for adversarial robustness. Inf. Sci. 654 (2024)
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR (2023)
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR (2023)
Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers. CoRR (2022)
Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang P. Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. CoRR (2022)
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs (2022)
Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
A Dataset Perspective on Offline Reinforcement Learning. CoLLAs (2022)
Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. CoLLAs (2022)
Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer
Efficient Training of Audio Transformers with Patchout. INTERSPEECH (2022)
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR (2022)
Fabian Paischer, Thomas Adler, Vihang P. Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
History Compression via Language Models in Reinforcement Learning. CoRR (2022)
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS (2021)
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. HEAR@NeurIPS (2021)
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks. CoRR (2021)
Khaled Koutini, Hamid Eghbal-zadeh, Florian Henkel, Jan Schlüter, Gerhard Widmer
Over-Parameterization and Generalization in Audio Classification. CoRR (2021)
Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh, Gerhard Widmer
Efficient Training of Audio Transformers with Patchout. CoRR (2021)
Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR (2020)
Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh, Gerhard Widmer
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping. CoRR (2020)
Hamid Eghbal-zadeh, Florian Henkel, Gerhard Widmer
Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables. Preregister@NeurIPS (2020)
Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi
Movie genome: alleviating new item cold start in movie recommendation. User Model. User Adapt. Interact. 29 (2) (2019)
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
Receptive-Field-Regularized CNN Variants for Acoustic Scene Classification. DCASE (2019)
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
On Conditioning GANs to Hierarchical Ontologies. CoRR (2019)
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
On Conditioning GANs to Hierarchical Ontologies. DEXA Workshops (2019)
Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. CoRR (2019)
Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. EUSIPCO (2019)
Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. CoRR (2019)
Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer
Feature-combination hybrid recommender systems for automated music playlist continuation. User Model. User Adapt. Interact. 29 (2) (2019)
Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. CoRR (2019)
Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
Mixture Density Generative Adversarial Networks. CVPR (2019)
Paul Primus, Hamid Eghbal-zadeh, David Eitelsebner, Khaled Koutini, Andreas Arzt, Gerhard Widmer
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification. DCASE (2019)
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
Receptive-field-regularized CNN variants for acoustic scene classification. CoRR (2019)
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
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR (2018)
Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
Mixture Density Generative Adversarial Networks. CoRR (2018)
Khaled Koutini, Hamid Eghbal-zadeh, Gerhard Widmer
Iterative knowledge distillation in R-CNNs for weakly-labeled semi-supervised sound event detection. DCASE (2018)
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys (2017)
Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. CoRR (2017)
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. EUSIPCO (2017)
Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer
Deep Within-Class Covariance Analysis for Acoustic Scene Classification. CoRR (2017)
Hamid Eghbal-zadeh, Bernhard Lehner, Matthias Dorfer, Gerhard Widmer
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification. CoRR (2017)
Hamid Eghbal-zadeh, Gerhard Widmer
Likelihood Estimation for Generative Adversarial Networks. CoRR (2017)
Hamid Eghbal-zadeh, Gerhard Widmer
Probabilistic Generative Adversarial Networks. CoRR (2017)
Hamid Eghbal-zadeh, Gerhard Widmer
Noise Robust Music Artist Recognition Using I-Vector Features. ISMIR (2016)
Hamid Eghbal-zadeh, Bernhard Lehner, Markus Schedl, Gerhard Widmer
I-Vectors for Timbre-Based Music Similarity and Music Artist Classification. ISMIR (2015)
Hamid Eghbal-zadeh, Markus Schedl, Gerhard Widmer
Timbral modeling for music artist recognition using i-vectors. EUSIPCO (2015)