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Pretrained Transformers achieve remarkable performance when training and test data are from the same distribution.
Roberta: A robustly optimized bert pretraining approach
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Lei Shu, Hu Xu, and Bing Liu. 2017 · 2017
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Pretrained transformers improve out-of-distribution robustness
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Deep anomaly detection with outlier exposure
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Joo-Kyung Kim and Young-Bum Kim. 2018 · 2018
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Shiyu Liang, Yixuan Li, and R Srikant. 2018 · 2018
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Representation learning with contrastive predictive coding
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Out-of-distribution detection using an ensemble of self supervised leave-out classifiers
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Self-supervised learning of pretext-invariant representations
Ishan Misra and Laurens van der Maaten. 2020 · 2020
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Transformers: State-of-the-art natural language processing
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