Alison W

[Ming-Yu Liu @liu_mingyu]

MUNIT: Multimodal unsupervised image-to-image translation. Learn to translate one input dog image to a distribution of cat images without paired training data.
paper: https://t.co/EJJp3soAGv
code: https://t.co/BGRKVkaTaR
by @xunhuang1995 @SergeBelongie @jankautz
#DeepLearning

[Ian Goodfellow @goodfellow_ian]

The definition of "adversarial examples" I prefer these days is "Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake" https://t.co/GiXiQBCp5L

[Google AI @GoogleAI]

Announcing the availability of MobileNetV2, the next generation of on-device models that push the state of the art for mobile visual recognition including classification, object detection and semantic segmentation. https://t.co/giGUt7wJKd

[hardmaru @hardmaru]

"Deep Painterly Harmonization", Fujun Luan et al. This would make a nice app.
paper (pdf): https://t.co/jWoVkqoxZU
code: https://t.co/HD0ic4wjx2

[Mario Klingemann💧💦 @quasimondo]

Turn your face into an oil painting in real-time*

* ᵃᵖᵖˡᶦᶜᵃⁿᵗˢ ᵐᵘˢᵗ ᵇᵉ ʷʰᶦᵗᵉ ᵐᵃˡᵉ ᵃⁿᵈ ᵒᵛᵉʳ ⁴⁰ ʸᵉᵃʳˢ ᵒˡᵈ

[Alison W @AlisonSWu]

Happy Halloween! Check out my plot function to create your own GitHub style pixel art at https://t.co/Qg9p6n4dOg!
#github #Halloween

[Laber Labs @LaberLabs]

"Me thinking about proofs in the bath like..." --@AlisonSWu #LaberLabor #NoEscape #GradStudentLife

[Laber Labs @LaberLabs]

It's Tuesday! Blow away your troubles. #LaberLabs #WeAcceptOfferings #LookUp