September 9, 2019
by Léo Laugier
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In Deep Learning for Natural Language Processing, supervised text generation tasks are usually trained by minimizing the cross-entropy loss (i.e. an error) between the ground-truth sequence and the predicted sequence. However, when we tackle unsupervised text generation task, we may … Continue reading
September 9, 2019
by Léo Laugier
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We introduce here two successful ideas that were used to modify attributes of images, such as their style, while keeping their content: Neural Style Transfer and CycleGAN. Neural Style Transfer for images In 2015, Leon A. Gatys et al. published … Continue reading
September 9, 2019
by Léo Laugier
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Annotating implicit toxicity and subtle forms of abusive language is difficult When my academic PhD advisor Thomas Bonald and I started collaborating with Jigsaw and the Athens University of Economics and Business in Spring 2019, we faced the following issue: … Continue reading