64 citations · 225 across the 19 of their papers we have counts for
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cs.LG2019
Leveraging Model Interpretability and Stability to increase Model Robustness
Fei Wu, Thomas Michel, Alexandre Briot
State of the art Deep Neural Networks (DNN) can now achieve above human level accuracy on image classification tasks. However their outstanding performances come along with a compl…
cs.CL2019★ 8 cited
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
Yuxian Meng, Xiangyuan Ren, Zijun Sun +4
In this paper, we investigate the problem of training neural machine translation (NMT) systems with a dataset of more than 40 billion bilingual sentence pairs, which is larger than…