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Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning.
1909
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H. Eghbal-zadeh, M. Dorfer, and G. Widmer, “Deep within-class covariance analysis for robust deep audio representation learning,” in
2018
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F. Berger, W. Freillinger, P. Primus, and W. Reisinger, “Bird audio detection - dcase 2018,” DCASE2018 Challenge, Tech. Rep., September 2018
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2018
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H. Eghbal-zadeh, K. Koutini, and G. Widmer, “Acoustic scene classification and audio tagging with receptive-field-regularized CNNs,” DCASE2019 Challenge, Tech. Rep., June 2019
2019
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K. Koutini, H. Eghbal-zadeh, M. Dorfer, and G. Widmer, “The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification,” in
2019
Closest in time.