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Anomaly detection is a significant problem faced in several research areas.
KDD Cup 1999 Data (University of California Irvine)
Lichman, M · 1999
Earlier work this paper cites.
CIFAR-10 (Canadian Institute for Advanced Research)
Krizhevsky, A., Nair, V., and Hinton, G · 2007
Earlier work this paper cites.
Anomaly detection: A survey
Chandola, V., Banerjee, A., and Kumar., V · 2009
Earlier work this paper cites.
Generative Adversarial Nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y · 2014
Earlier work this paper cites.
Conditional Generative Adversarial Nets
Mirza, M. and Osindero, S · 2014
Earlier work this paper cites.
TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., and Zheng, X · 2015
Cited alongside, same era.
Donahue, J., Krähenbühl, P., and Darrell, T · 2016
Cited alongside, same era.
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2016
Cited alongside, same era.
Improved Techniques for Training GANs
Salimans, T., Goodfellow, I. J., Zaremba, W., Cheung, V., Radford, A., and Chen, X · 2016
Cited alongside, same era.
Semantic Image Inpainting with Perceptual and Contextual Losses
Yeh, R. A., Chen, C., Lim, T.-Y., Hasegawa-Johnson, M., and Do, M. N · 2016
Cited alongside, same era.
MNIST handwritten digit database
LeCun, Y. and Cortes, C
Cited in the paper.
MNIST handwritten digit database
LeCun, Y. and Cortes, C
Cited in the paper.
Adversarially learned inference
Dumoulin, V., Belghazi, M. I. D., Poole, B., Lamb, A., Arjovsky, M., Mastropietro, O., and Courville, A · 2017
Later among the works it cites.
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Schlegl, T., Seeböck, P., Waldstein, S. M., Schmidt-Erfurth, U., and Langs, G · 2017
Later among the works it cites.
Fashion-MNIST: A Novel Image Dataset for Benchmarking Machine Learning Algorithms
Xiao, H., Rasul, K., and Vollgraf, R · 2017
Later among the works it cites.
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Akcay, S., Abarghouei, A. A., and Breckon, T. P · 2018
Later among the works it cites.
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Zenati, H., Foo, C. S., Lecouat, B., Manek, G., and Chandrasekhar, V. R · 2018
Later among the works it cites.