Semi-Supervised Learning with Per-Class Adaptive Confidence Scores for Acoustic Environment Classification with Imbalanced Data

Author:

Fiorio Luan Vinícius1,Karanov Boris1,David Johan2,Houtum Wim van1,Widdershoven Frans2,Aarts Ronald M.1

Affiliation:

1. Eindhoven University of Technology,Eindhoven,The Netherlands,5600 MB

2. NXP Semiconductors,Eindhoven,The Netherlands,5656 AE

Publisher

IEEE

Reference19 articles.

1. Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks;lee;ICML 2013 Challenges in Representation Learning,2013

2. A survey on semi-supervised learning

3. Class-imbalanced semi-supervised learning with adaptive thresholding;guo;Proceedings of the 39th International Conference on Machine Learning,2022

4. Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results;tarvainen;Proceedings of the 31st International Conference on Neural Information Processing Systems,2017

5. Federated Self-Training for Data-Efficient Audio Recognition

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