The Impact of Complex and Informed Adversarial Behavior in Graphical Coordination Games. https://t.co/P4o6RmEEx2

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Lund jet images from generative and cycle-consistent adversarial networks. https://t.co/6uuNIyrA00

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More testing for our Generative Adversarial Network trained on plants illustrations.

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My Changeling: the Lost PC Kit (it pronouns) and its fetch Kip (squidself pronouns): slightly different flavors of genderqueer, exactly the same flavor of bad at the usually adversarial changeling&fetch dynamic.

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Into this trend of taking memes that were competitive/adversarial and making them romantic and kind instead

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Training Generative Adversarial Networks from Incomplete Observations using Factorised Di... https://t.co/CUv9EQ9vAz

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Exploring the Hyperparameter Landscape of Adversarial Robustness. https://t.co/0LpamPzcXN

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QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Netw... https://t.co/MZ3hKbw3MN

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おっ、男性キャラの自動生成もできるようになってる!あと、口の開閉とか、瞬きとかもある。良い。

キャラクター生成
深層学習の1種であるGAN(Generative Adversarial Network)を利用するとアマチュアでもプロレベルのアニメ顔画像を生成する事が可能です。
https://t.co/RKaSCl29JA

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continues!
Sometimes the things we are see as adversarial are
there to help us grow. And sometimes a darkness within
us can snuff out that energy if we let it. (1/2)

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Here's a little bit of a thought...

Most great adversarial stories are great because of the Villain, not the Hero.

Think The Dark Knight's Joker, or Negan in The Walking Dead.

I very much hope we see this from Uldren, because with this, the possibilities become endless.

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仕事柄調べてて最近すごいなって思ったのはアニメキャラクターの自動生成。

GAN(Generative Adversarial Network)という技術(機械学習の分野)があるんですけど、かなり精度の高いものを生み出す研究が進んでて面白いです。

動画はAI (GAN) × Blockchain × Animeを謳うCrypko社のもの。

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