Hamid Eghbal-zadeh | DeepAI

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∙ 05/02/2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

We study the problem of choosing algorithm hyper-parameters in unsupervi...

7 Marius-Constantin Dinu, et al. ∙

∙ 11/25/2022

Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers

The success of supervised deep learning methods is largely due to their ...

0 Khaled Koutini, et al. ∙

∙ 07/12/2022

Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning

In lifelong learning, an agent learns throughout its entire life without...

10 Christian Alexander Steinparz, et al. ∙

∙ 06/07/2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space

We introduce SubGD, a novel few-shot learning method which is based on t...

5 Martin Gauch, et al. ∙

∙ 05/24/2022

History Compression via Language Models in Reinforcement Learning

In a partially observable Markov decision process (POMDP), an agent typi...

5 Fabian Paischer, et al. ∙

∙ 10/11/2021

Efficient Training of Audio Transformers with Patchout

The great success of transformer-based models in natural language proces...

0 Khaled Koutini, et al. ∙

∙ 07/19/2021

Over-Parameterization and Generalization in Audio Classification

Convolutional Neural Networks (CNNs) have been dominating classification...

4 Khaled Koutini, et al. ∙

∙ 05/26/2021

Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural Networks

In this paper, we study the performance of variants of well-known Convol...

0 Khaled Koutini, et al. ∙

∙ 11/05/2020

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

Deep Neural Networks are known to be very demanding in terms of computin...

0 Khaled Koutini, et al. ∙

∙ 07/27/2020

Receptive-Field Regularized CNNs for Music Classification and Tagging

Convolutional Neural Networks (CNNs) have been successfully used in vari...

0 Khaled Koutini, et al. ∙

∙ 07/06/2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis

Data augmentation techniques have become standard practice in deep learn...

11 Hamid Eghbal-zadeh, et al. ∙

∙ 10/28/2019

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

We present CP-JKU submission to MediaEval 2019; a Receptive Field-(RF)-r...

0 Khaled Koutini, et al. ∙

∙ 09/05/2019

Receptive-field-regularized CNN variants for acoustic scene classification

Acoustic scene classification and related tasks have been dominated by C...

0 Khaled Koutini, et al. ∙

∙ 09/04/2019

Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification

Distribution mismatches between the data seen at training and at applica...

0 Paul Primus, et al. ∙

∙ 07/03/2019

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Convolutional Neural Networks (CNNs) have had great success in many mach...

0 Khaled Koutini, et al. ∙

∙ 05/16/2019

On Conditioning GANs to Hierarchical Ontologies

The recent success of Generative Adversarial Networks (GAN) is a result ...

0 Hamid Eghbal-zadeh, et al. ∙

∙ 10/31/2018

Mixture Density Generative Adversarial Networks

Generative Adversarial Networks have surprising ability for generating s...

0 Hamid Eghbal-zadeh, et al. ∙

∙ 07/27/2018

Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments

This paper presents DCASE 2018 task 4. The task evaluates systems for th...

0 Romain Serizel, et al. ∙

∙ 06/22/2018

Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data

Diagnosis and risk stratification of cancer and many other diseases requ...

0 Hamid Eghbal-zadeh, et al. ∙

∙ 11/10/2017

Deep Within-Class Covariance Analysis for Acoustic Scene Classification

Within-Class Covariance Normalization (WCCN) is a powerful post-processi...

0 Hamid Eghbal-zadeh, et al. ∙

∙ 08/06/2017

Probabilistic Generative Adversarial Networks

We introduce the Probabilistic Generative Adversarial Network (PGAN), a ...

0 Hamid Eghbal-zadeh, et al. ∙

∙ 07/24/2017

Likelihood Estimation for Generative Adversarial Networks

We present a simple method for assessing the quality of generated images...

0 Hamid Eghbal-zadeh, et al. ∙

∙ 06/20/2017

A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification

In Acoustic Scene Classification (ASC) two major approaches have been fo...

0 Hamid Eghbal-zadeh, et al. ∙

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