[Danylon]

Beating the state-of-the-art with one-shot learning is not common. Transfer learning for NLP is also quite unchartered.

Also the technique is quite novel: This is not pre-trained nets on labeled data, it is an unsupervised generative model.

Future research directions are exciting: Unsupervised prediction of the next frame in a video, and then being able to one-shot learn a wide range of visual tasks.

[kastnerkyle]

You might be interested in minute 50 onward [0], or this recent paper from Facebook [1].

[0] https://www.youtube.com/watch?v=-yX1SYeDHbg&list=PLE6Wd9FR--...

[1] https://arxiv.org/abs/1703.07684

[Danylon]

Cool. I knew of previous work [1], but not the recent paper you posted. Thanks.

[1] https://arxiv.org/abs/1412.6056 "Predicting Deeper into the Future of Semantic Segmentation"