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https://arxiv.org/pdf/1511.06434.pdf
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised lear…
leo-p updated
7 years ago
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## 一言でいうと
合成画像で学習できると良いけど独特のクセにより上手くいかない、という点を克服する試み。より「本物らしく」するNN対見破るNNで学習(GAN)。元からかけ離れた「本物化」を防ぐため元画像との差異を利用した正規化などの試みがとられている
### 論文リンク
https://arxiv.org/abs/1612.07828
### 著者/所属機関
Ash…
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https://arxiv.org/abs/1805.01978
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https://arxiv.org/abs/1511.06434
https://hyeongminlee.github.io/post/gan003_dcgan/
https://github.com/HyeongminLEE/Tensorflow_DCGAN
http://jaejunyoo.blogspot.com/2017/02/deep-convolutional-gan-dcga…
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What do you think about whether to do first unsupervised learning or first model selection?
In 2013 they did first supervised learning, examples, grid-search, and then unsupervised learning.
In the ou…
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Dataset and pre-trained models for unsupervised learning
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Just as a quick link list, here is a list of ICLR Submissions using the keyword "Domain Adaptation". I guess waiting for the reviews makes sense before including them in the reading list.
# Unsup…
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### 🚀 The feature, motivation and pitch
Hi, it would be awesome to implement [Learning Graph Representations with Embedding Propagation
by Alberto Garcia-Duran, Mathias Niepert ](https://arxiv.org…
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I'm trying to classify graph data with fully unsupervised Graph Clustering.
So far, all that I've found the method for Graph Clustering is actually for node clustering or not a fully unsupervised l…