In a new paper, Google Research Scientists by Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, and Kevin Murphy introduce a network that learns to colorize videos, automatically tracking objects without supervision and without requiring any labeled training data.

https://ai.googleblog.com/2018/06/self-supervised-tracking-via-video.html

Paper: https://arxiv.org/abs/1806.09594


https://t.iss.one/ArtificialIntelligenceArticles

Top 20 DeepLearning Papers, 2018 Edition https://goo.gl/aU19R3 @ArtificialIntelligenceArticles

Evaluating Feature Importance Estimates

Important work from @sarahookr, @doomie, @piekindermans, and @_beenkim on quantifying the extent to which various saliency methods *actually* find relevant portions of images.


https://arxiv.org/abs/1806.10758

https://t.iss.one/ArtificialIntelligenceArticles

Some ideas on how to train neural networks in a somewhat more biologically plausible way compared to end-to-end training with the backpropagation algorithm. Unsupervised Learning by Competing Hidden Units,
https://arxiv.org/abs/1806.10181

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Scalable Deep Reinforcement Learning for Robotic Manipulation

https://ai.googleblog.com/2018/06/scalable-deep-reinforcement-learning.html

https://t.iss.one/ArtificialIntelligenceArticles

Using Deep Q-Learning in FIFA 18 to perfect the art of free-kicks
https://goo.gl/yzQ9bK @ArtificialIntelligenceArticles

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

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

The 10 coolest papers from CVPR 2018
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

new paper from Geoffrey Hinton #ACL2018 https://goo.gl/TehHaz @ArtificialIntelligenceArticles

The proceedings of #icml2018 are now online
#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

Best Paper Awards ICML 2018
Paper: https://arxiv.org/abs/1803.04383 @ArtificialIntelligenceArticles

Best Paper Runner Up Awards ICML 2018

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

Best Paper Runner Up Awards ICML 2018
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

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/

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