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The Mixture-of-Experts (MoE) technique can scale up the model size of Transformers with an affordable computational overhead.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Adaptive mixtures of local experts
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Auction algorithms for network flow problems: A tutorial introduction
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Adam: A method for stochastic optimization
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Neural machine translation of rare words with subword units
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
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Multi-task learning for multilingual neural machine translation
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