One-Shot Generalization in Deep Generative Models — mentioned by brandonb

Thu, 02 Feb 2017 22:47:52 GMT

Another idea is one-shot learning using deep generative models. DeepMind had a paper on this last year: https://arxiv.org/abs/1603.05106

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

One-Shot Generalization in Deep Generative Models — mentioned by nl

Tue, 14 Jun 2016 16:47:11 GMT

So this is pretty interesting. One of the great hopes of the current deep learning boom is that somehow we will develop unsupervised or at least semi-supervised techniques which can perform close to the great results that are being seen with supervised learning. Adversarial Networks is one of the more likely routes to semi-supervised. There is also a lot of interesting work in combining Bayesian optimization techniques with Deep Networks to develop one-shot learning[1][2]. Some of this was (very broadly) in response to the the one-shot learning paper coming out of (I've forgotten!!) where the…

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

One-Shot Generalization in Deep Generative Models · HackerPapers discussions

One-Shot Generalization in Deep Generative Models — mentioned by brandonb

One-Shot Generalization in Deep Generative Models — mentioned by nl