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NeurIPS | 2018

Tutorial on Adversarial Robustness: Theory and Practice

Accompanying notes and code: https://adversarial-ml-tutorial.org/
So you want to be a Research Scientist?
Things they don’t teach you in graduate school
1. Research is about ill-posed questions with multiple (or no) answers

https://medium.com/@vanhoucke/so-you-want-to-be-a-research-scientist-363c075d3d4c
Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics. https://arxiv.org/abs/1811.12607
Slides from #NeurIPS2018 Tutorial on causal inference

By Susan Athey: https://goo.gl/eBRFzv
Nvidia's new GPU is Deep Learning Beast !!!
It delivers 130 teraflops of DL performance &11 GigaRays of ray-tracing performance at1350MHz base clock speed https://goo.gl/FRA1N7
Happy birthday to Geoffrey Hinton, the “Godfather of AI”

#ArtificialIntelligence #DeepLearning
Deep Learning for Classical Japanese Literature. https://arxiv.org/abs/1812.01718
NeurIPS 2018 | Deep Reinforcement Learning Workshop

Friday December 7th, 2018
08:00 AM -- 07:00 PM

Schedule: https://sites.google.com/view/deep-rl-workshop-nips-2018/home