Slides for most talks at Good Citizen at CVPR workshop are up https://goo.gl/qXzezt or https://goo.gl/8Q98vR Lots of useful advice and experience for writing and reviewing papers, how to do good research and evaluation, talks, how to organise your time #CVPR2018
https://t.iss.one/ArtificialIntelligenceArticles
https://t.iss.one/ArtificialIntelligenceArticles
Good Citizen of CVPR
What does it take to be a good citizen of the CVPR community?
Adversarial Reprogramming of Neural Networks. Cool new preprint from Ian Goodfellow ,.... https://arxiv.org/abs/1806.11146 @ArtificialIntelligenceArticles
Beyond Winning and Losing: Modeling Human Motivations and Behaviors (in World of Warcraft) Using Inverse Reinforcement Learning
https://arxiv.org/abs/1807.00366 @ArtificialIntelligenceArticles
https://arxiv.org/abs/1807.00366 @ArtificialIntelligenceArticles
The 10 coolest papers from CVPR 2018
https://towardsdatascience.com/the-10-coolest-papers-from-cvpr-2018-11cb48585a49 @ArtificialIntelligenceArticles
https://towardsdatascience.com/the-10-coolest-papers-from-cvpr-2018-11cb48585a49 @ArtificialIntelligenceArticles
Accurate Uncertainties for Deep Learning Using Calibrated Regression https://arxiv.org/abs/1807.00263 @ArtificialIntelligenceArticles
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning"
Agents achieve human-level performance in a complex first-person multiplayer game, and can even collaborate with human teammates!
Jaderberg et al. Blog : https://deepmind.com/blog/capture-the-flag/
@ArtificialIntelligenceArticles
Agents achieve human-level performance in a complex first-person multiplayer game, and can even collaborate with human teammates!
Jaderberg et al. Blog : https://deepmind.com/blog/capture-the-flag/
@ArtificialIntelligenceArticles
The proceedings of #icml2018 are now online
#paper
https://goo.gl/e5y2Yk @ArtificialIntelligenceArticles
#paper
https://goo.gl/e5y2Yk @ArtificialIntelligenceArticles
Best Paper Awards ICML 2018
Paper: https://arxiv.org/abs/1802.00420
Github: https://github.com/anishathalye/obfuscated-gradients @ArtificialIntelligenceArticles
Paper: https://arxiv.org/abs/1802.00420
Github: https://github.com/anishathalye/obfuscated-gradients @ArtificialIntelligenceArticles
Best Paper Runner Up Awards ICML 2018
Paper: https://www.cse.ust.hk/~huangzf/ICML18.pdf @ArtificialIntelligenceArticles
Paper: https://www.cse.ust.hk/~huangzf/ICML18.pdf @ArtificialIntelligenceArticles
Best Paper Runner Up Awards ICML 2018
Paper: https://arxiv.org/abs/1802.05642 @ArtificialIntelligenceArticles
Paper: https://arxiv.org/abs/1802.05642 @ArtificialIntelligenceArticles
Best Paper Runner Up Awards ICML 2018
Paper: https://arxiv.org/abs/1806.08010 @ArtificialIntelligenceArticles
Paper: https://arxiv.org/abs/1806.08010 @ArtificialIntelligenceArticles
❄️💦10 مقاله برتر یادگیری ماشین به انتخاب Mybridge در ماه گذشته
Machine Learning Top 10 Articles for the Past Month (v.July 2018)
https://goo.gl/St8m63 @ArtificialIntelligenceArticles
Machine Learning Top 10 Articles for the Past Month (v.July 2018)
https://goo.gl/St8m63 @ArtificialIntelligenceArticles
Microsoft Research Open Data
A collection of free datasets from Microsoft Research to advance state-of-the-art research in areas such as natural language processing, computer vision, and domain specific sciences.
https://msropendata.com/
Similar to the AWS version :
https://aws.amazon.com/opendata/
@ArtificialIntelligenceArticles
A collection of free datasets from Microsoft Research to advance state-of-the-art research in areas such as natural language processing, computer vision, and domain specific sciences.
https://msropendata.com/
Similar to the AWS version :
https://aws.amazon.com/opendata/
@ArtificialIntelligenceArticles
Amazon
Open Data on AWS
Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. Browse available data and learn how to register your own datasets.
Official Repository for the Deep Reinforcement Learning Nanodegree program
https://github.com/udacity/deep-reinforcement-learning
@ArtificialIntelligenceArticles
https://github.com/udacity/deep-reinforcement-learning
@ArtificialIntelligenceArticles
GitHub
GitHub - udacity/deep-reinforcement-learning: Repo for the Deep Reinforcement Learning Nanodegree program
Repo for the Deep Reinforcement Learning Nanodegree program - udacity/deep-reinforcement-learning
Synthesizing realistic high-resolution images with Glow, a new reversible generative model:
https://blog.openai.com/glow/
@ArtificialIntelligenceArticles
https://blog.openai.com/glow/
@ArtificialIntelligenceArticles
Openai
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficient…
Feature-wise transformations
New review article on feature-wise transformations (like FiLM) in the highly visual and interactive Distill journal. With Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville and Yoshua Bengio. Many institutions involved. A very useful building block for learning conditioning computation (especially visual computation).
https://distill.pub/2018/feature-wise-transformations/
@ArtificialIntelligenceArticles
New review article on feature-wise transformations (like FiLM) in the highly visual and interactive Distill journal. With Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville and Yoshua Bengio. Many institutions involved. A very useful building block for learning conditioning computation (especially visual computation).
https://distill.pub/2018/feature-wise-transformations/
@ArtificialIntelligenceArticles
Distill
Feature-wise transformations
A simple and surprisingly effective family of conditioning mechanisms.
DeepMind papers at ICML 2018
https://deepmind.com/blog/deepmind-papers-icml-2018/
@ArtificialIntelligenceArticles
https://deepmind.com/blog/deepmind-papers-icml-2018/
@ArtificialIntelligenceArticles
DeepMind
DeepMind papers at ICML 2018 | DeepMind
The 2018 International Conference on Machine Learning will take place in Stockholm, Sweden from 10-15 July. Here you will find a schedule of DeepMind presentations at ICML.
ICML 2018 Tutorial sessions
International Conference on Machine Learning @icmlconf (ICML 2018) a premier annual Machine Learning event is going Live Stream at
ICML 2018 Tutorial sessions (Live Stream )
https://www.facebook.com/icml.imls/videos/428757614305426/
@ArtificialIntelligenceArticles
International Conference on Machine Learning @icmlconf (ICML 2018) a premier annual Machine Learning event is going Live Stream at
ICML 2018 Tutorial sessions (Live Stream )
https://www.facebook.com/icml.imls/videos/428757614305426/
@ArtificialIntelligenceArticles
Facebook
International Conference on Machine Learning
Welcome back to the ICML 2018 Tutorial sessions. This tutorial Optimization Perspectives on Learning to Control will survey the foundations required to build machine learning systems that reliably...