Funder
Natural Sciences and Engineering Research Council of Canada
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference72 articles.
1. Ahn, S., Hu, S. X., Damianou, A., Lawrence, N. D., & Dai, Z. (2019). Variational information distillation for knowledge transfer. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 9163–9171).
2. MFC-GAN: Class-imbalanced dataset classification using multiple fake class generative adversarial network;Ali-Gombe;Neurocomputing,2019
3. Arazo, E., Ortego, D., Albert, P., O’Connor, N. E., & McGuinness, K. (2020). Pseudo-labeling and confirmation bias in deep semi-supervised learning. In 2020 International joint conference on neural networks (pp. 1–8).
4. Brock, A., Donahue, J., & Simonyan, K. (2019). Large Scale GAN Training for High Fidelity Natural Image Synthesis. In International conference on learning representations.
5. Buciluǎ, C., Caruana, R., & Niculescu-Mizil, A. (2006). Model compression. In Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 535–541).
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