Fundamentals of deep learning

By Nikhil Buduma, Nicholas Locascio. 2017

185 citations recorded by the source corpus.

Subfields: Large Language Models

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Large Language Models

1. Ciprian Chelba
2. David Grangier
3. Markus Freitag
4. Parker Riley
5. Isaac Caswell

Citations in the corpus

• Tagged Back-Translation (2019, background): “…et al., 2015, 2017), back-translation (Sennrich et al., 2016; Poncelas et al., 2018), unsupervised machine translation (Lample et al., 2018a; Artetxe et al., 2018), dual learning (Cheng et al., 2016; Di He and Ma, 2016; Xia et al., 2017), and multi-task learning (Domhan and Hieber, 2017).”
• Translationese as a Language in “Multilingual” NMT (2019, methodology): “To stabilize training, we use exponentially weighted moving average (EMA) decay (Buduma and Locascio, 2017).”
• APE at Scale and Its Implications on MT Evaluation Biases (2019, unknown): “999 (Buduma and Locascio, 2017).”