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cs.CL2019
Fully Quantized Transformer for Machine Translation
Gabriele Prato, Ella Charlaix, Mehdi Rezagholizadeh
State-of-the-art neural machine translation methods employ massive amounts of parameters. Drastically reducing computational costs of such methods without affecting performance has…
cs.CL2019
Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar +1
A lot of work has been done in the field of image compression via machine learning, but not much attention has been given to the compression of natural language. Compressing text i…