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Open-world machine learning (ML) combines closed-world models trained on in-distribution data with out-of-distribution (OOD) detectors, which aim to detect and reject OOD inputs.
Visualizing data using t-sne
Maaten, L. v. d. and Hinton, G · 2008
Earlier work this paper cites.
Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., and Fergus, R · 2014
Earlier work this paper cites.
Zagoruyko, S. and Komodakis, N · 2016
Earlier work this paper cites.
Robust, deep and inductive anomaly detection
Chalapathy, R., Menon, A. K., and Chawla, S · 2017
Earlier work this paper cites.
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Hendrycks, D. and Gimpel, K · 2017
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Magnet: a two-pronged defense against adversarial examples
Meng, D. and Chen, H · 2017
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Reducing network agnostophobia
Dhamija, A. R., Günther, M., and Boult, T · 2018
Cited alongside, same era.
Recent advances in open set recognition: A survey
Geng, C., Huang, S.-j., and Chen, S · 2018
Cited alongside, same era.
Deep anomaly detection with outlier exposure
Hendrycks, D., Mazeika, M., and Dietterich, T. G · 2018
Cited alongside, same era.
A simple unified framework for detecting out-of-distribution samples and adversarial attacks
Lee, K., Lee, K., Lee, H., and Shin, J · 2018
Cited alongside, same era.
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Liang, S., Li, Y., and Srikant, R · 2018
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Madry, A., Makelov, A., Schmidt, L., Tsipras, D., and Vladu, A · 2018
Later among the works it cites.
Deep one-class classification
Ruff, L., Vandermeulen, R., Goernitz, N., Deecke, L., Siddiqui, S. A., Binder, A., Müller, E., and Kloft, M · 2018
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Hendrycks, D., Zhao, K., Basart, S., Steinhardt, J., and Song, D · 2019
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Picsum random image generator
Picsum Authors · 2019
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Analyzing the robustness of open-world machine learning
Sehwag, V., Bhagoji, A. N., Song, L., Sitawarin, C., Cullina, D., Chiang, M., and Mittal, P · 2019
Later among the works it cites.
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