Semi-Supervised Learning with Ladder Networks · HackerPapers discussions

Semi-Supervised Learning with Ladder Networks — mentioned by pyryt

Fri, 07 Mar 2025 10:25:32 GMT

Some names are just too tempting https://arxiv.org/abs/1507.02672

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

Semi-Supervised Learning with Ladder Networks — mentioned by ma2rten

Sat, 03 Dec 2016 19:47:29 GMT

This is somewhat tangental, but what do you think about Ladder Networks? (https://arxiv.org/abs/1507.02672, https://arxiv.org/abs/1511.06430) I was really impressed by their results, but I haven't seen it being applied successfully to other applications.

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

Semi-Supervised Learning with Ladder Networks — mentioned by dharma1

Mon, 03 Oct 2016 06:45:11 GMT

https://arxiv.org/abs/1507.02672 Ladder networks get 1.62% error rate on MNIST with 50 labeled samples

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Semi-Supervised Learning with Ladder Networks — mentioned by kastnerkyle

Thu, 03 Sep 2015 05:06:46 GMT

Just to be abundantly clear - the ladder network [1] outscores this by a moderate margin, and is also actually SOTA without data augmentation. In my mind at least, adding data rotations in the latent space is still different than a fully connected model without data augmentation. I could do with a few more recent citations on generative modeling. It seems the author isn't 100% aware of some of the most recent generative modeling work. That said, the ideas presented are interesting and seem complimentary to lots of existing approaches - I will be looking into this paper further. [1]…

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