Generating Sentences from a Continuous Space — mentioned by phreeza

Sat, 30 May 2020 20:48:20 GMT

Not all models scale up well with more parameters. VAEs are not really exclusively a vision thing, they have been used in a variety of settings. Using VAEs for NLP is also nothing new, an early example is Bowman et al, 2015. https://arxiv.org/abs/1511.06349

Paper and discussion history. A mention is not an endorsement.

Generating Sentences from a Continuous Space — mentioned by duvenaud

Tue, 25 Oct 2016 03:24:42 GMT

One of the authors of the original paper https://arxiv.org/abs/1610.02415 here. From a machine learning point of view, we simply glued together two techniques: text autoencoders and Bayesian optimization. That is, we trained an autoencoder to transform a text representation of chemicals (SMILES) to and from continuous vectors. Then “chemical design” is just maximizing a function of a continuous variable, something that we already know a lot about. We also showed off some of the nice things that one can do with continuous latent representations, such as interpolation. This had already been…

Paper and discussion history. A mention is not an endorsement.

Generating Sentences from a Continuous Space · HackerPapers discussions

Generating Sentences from a Continuous Space — mentioned by phreeza

Generating Sentences from a Continuous Space — mentioned by duvenaud