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In Proceedings of the IEEE International Conference on Computer Vision, pp. Distributionally robust neuralnetworks for group shifts: On the importance of regularization for worst-case generalization. In Association for ComputationalLinguistics (ACL), pp. Selective classification for deep neuralnetworks.
This goes back to layer-wise training of early deep neuralnetworks ( Hinton et al., From shallow to deep Over the last years, state-of-the-art models in NLP have become progressively deeper. In contrast, current models like BERT-Large and GPT-2 consist of 24 Transformer blocks and recent models are even deeper.
Transactions of the Association for ComputationalLinguistics, 9, 978–994. Transactions of the Association for ComputationalLinguistics, 9, 570–585. In Advances in Neural Information Processing Systems 29 (NIPS 2016). link] ↩︎ Hendricks, L. Schneider, R., Alayrac, J. De Sa, C.,
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