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Download Telegram
GAN Lab: Play with Generative Adversarial Networks (GANs) in your browser!
By created by Minsuk Kahng, Nikhil Thorat, Polo Chau, Fernanda Viégas, and Martin Wattenberg: https://poloclub.github.io/ganlab/
Research paper: https://minsuk.com/research/papers/kahng-ganlab-vast2018.pdf
#AI #ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
UC Berkeley Graduate Receives ACM Doctoral Dissertation Award
https://www.acm.org/media-center/2019/may/dissertation-award-2018
Alex Conneau defends his PhD at FAIR-Paris.

He and Guillaume Lample showed that completely-unsupervised language translation is feasible.

Their latest work on unsupervised training of large multilingual transformer auto-encoders can be found here: https://arxiv.org/abs/1901.07291
SinGAN: Learning a Generative Model from a Single Natural Image
Shaham et al.: https://arxiv.org/abs/1905.01164v1
#ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks
International Conference on Robotics and Automation

May 20-24, 2019,

Web: www.icra2019.org

#ArtificialIntelligence #ICRA #ICRA2019 #Robotics #Montreal
"Evolving Rewards to Automate Reinforcement Learning"
Faust et al.: https://arxiv.org/abs/1905.07628
#AutoRL #MachineLearning #ReinforcementLearning