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# Generative Adversarial Networks (GANs) | Analixa
Generative Adversarial Networks are used to generate images that never existed before. They learn about the world (objects, animals and so forth) an…
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## 論文リンク
https://arxiv.org/abs/1705.10461
## 公開日(yyyy/mm/dd)
2017/05/30
## 概要
GANの学習の収束性に関して、目的関数の勾配ベクトル場を解析することで理解を深めようという論文。
勾配ベクトル場の Jacobian の固有値に注目し、収束のために固有値の実部が非ゼロで大きくない値でかつ虚部が大きくない場合…
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I was doing Assignment 3 of 2018 version, but I ran into one error in the function run_a_gan:
```
---------------------------------------------------------------------------
InvalidArgumentError …
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IMO,there are tow ways to calculate Inception score of conditional GANs.
1. For every "condition", calculate a IS and Average them.
2. Sample "condition" from "real condition distribution" and gen…
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is there a comparison done with data efficients gans? https://github.com/mit-han-lab/data-efficient-gans
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## 一言でいうと
GANで言語モデルを作成しようという試み。G側は(単語の)サンプリングが必要なため、強化学習の枠組みで学習を行っている。D側は報酬を与えることになるが、生成系列全体ではなく生成単語単位に報酬を与える形をとっている。単語単位の密な報酬と大きいバッチサイズ(512)が学習に寄与するとの結果。
### 論文リンク
https://arxiv.org/abs/1905…
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### 論文へのリンク
[[arXiv:2002.04724] Improved Consistency Regularization for GAN](https://arxiv.org/abs/2002.04724)
### 著者・所属機関
Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Oden…
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Hi, is there a torch code incorporating the training improvements described in the paper "Improved Techniques for Training GANs"?
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https://arxiv.org/abs/1708.04692
> In this paper, we propose a novel application of Generative Adversarial Networks (GAN) to the synthesis of cells imaged by fluorescence microscopy. Compared to na…