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Listen to gradstudent, he knows what he's talking about.. this article presents generative models as a grab bag of NN algorithms that came out this quarter.
by platz 10y ago
Listen to gradstudent, he knows what he's talking about.. this article presents generative models as a grab bag of NN algorithms that came out this quarter.
- visarga 10y agoMost papers are migrating from plain classification to variational methods. This is the new trend. That means, instead of just predicting labels, they know also predict a probability for each label, a degree of confidence. And they work both ways, they can generate, as well as classify. And they are unsupervised, which means they can benefit from tons of data laying around.
- platz 10y agoYour definition of "variational methods" is actually a definition of generative models. https://en.wikipedia.org/wiki/Generative_model https://en.wikipedia.org/wiki/Generative_model. variational methods is a much more specific concept, and your answer speaks more to the general and high-level concept of generative models. Notice on the wikipedia page for generative models, there is a lot more than variational methods.