Distribution-Specific Augmentation for Domain Generalization

Author:

Goerttler Thomas,Schmidt Lukas,Obermayer Klaus

Publisher

Springer Nature Singapore

Reference38 articles.

1. Arjovsky M, Bottou L, Gulrajani I, Lopez-Paz D (2019) Invariant risk minimization. CoRR, abs/1907.02893

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3. Beery S, Van Horn G, Perona P (2018) Recognition in terra incognita. In: Ferrari V, Hebert M, Sminchisescu C, Weiss Y (eds) Computer vision—ECCV 2018—15th European conference, Munich, Germany, 8–14 Sept 2018. Proceedings, Part XVI. Lecture notes in computer science, vol 11220. Springer, pp 472–489

4. Berthelot D, Carlini N, Cubuk ED, Kurakin A, Sohn K, Zhang H, Raffel C (2020) ReMixMatch: semi-supervised learning with distribution matching and augmentation anchoring. In: 8th international conference on learning representations, ICLR 2020, Addis Ababa, Ethiopia, 26–30 Apr 2020. OpenReview.net

5. Berthelot D, Carlini N, Goodfellow IJ, Papernot N, Oliver A, Raffel C (2019) MixMatch: a holistic approach to semi-supervised learning. In: Wallach HM, Larochelle H, Beygelzimer A, d’Alché-Buc F, Fox EB, Garnett R (eds) Advances in neural information processing systems 32: annual conference on neural information processing systems 2019, NeurIPS 2019, Vancouver, BC, Canada, 8–14 Dec 2019, pp 5050–5060

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