Learning where you are looking at (in the browser)

By Max Schumacher : https://cpury.github.io/learning-where-you-are-looking-at/ @ArtificialIntelligenceArticles

https://goo.gl/PXZVbE

DeepBayes Summer School 2018


SLIDES, Bayesian Deep Learning

https://deepbayes.ru/#materials

Seminars DeepBayes Summer School Bayesian Deep Learning 2018

https://github.com/bayesgroup/deepbayes-2018
DeepBayes Summer School 2018

Presentations Bayesian Deep Learning
https://drive.google.com/drive/folders/1rJ-HTN3sNTvhJXPoXEEhfGlZWtjNY26C

Vdeos Bayesian Deep Learning

https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62

@ArtificialIntelligenceArticles

Introducing the Inclusive Images Competition https://ai.googleblog.com/2018/09/introducing-inclusive-images-competition.html

https://goo.gl/zFkc52
Computer science researchers with the highest rate of recent citations


(Google Scholar) among those with the largest h-index Taken among the 100 computer science researchers with the highest Google Scholar h-index(from the list maintained at https://www.guide2research.com/scientists/). Quantities extracted September 1st, 2018.


Yoshua Bengio is now the computer scientist with the most recent citations per day (over the last year), with the top-3 being the deep learning trio, Bengio, Hinton and LeCun, in that order.


Source : https://www.iro.umontreal.ca/~bengioy/citation-rate-CS-1sept2018.html

https://t.iss.one/ArtificialIntelligenceArticles

@ArtificialIntelligenceArticles

A recipe to save lives: Geoffrey Hinton and David Naylor call on physicians to embrace AI
https://goo.gl/rn3usp @ArtificialIntelligenceArticles

Machine Learning Top 10 Articles for the Past Month (v.Sep 2018)
https://goo.gl/eaQU5Y @ArtificialIntelligenceArticles

ML-Agents Toolkit v0.5, new resources for AI researchers available now


https://blogs.unity3d.com/2018/09/11/ml-agents-toolkit-v0-5-new-resources-for-ai-researchers-available-now/

All keynotes and AGI conference talks from the Human-Level AI Conference

Enjoy them here: https://slideslive.com/humanlevel-ai-2018

Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2018

https://goo.gl/dFrdNW

Deep Learning for Generic Object Detection: A Survey

paper : https://arxiv.org/abs/1809.02165v1
#computervision #deeplearning #patternrecognition @ArtificialIntelligenceArticles

Data Augmentation For Object Detection


tutorial articles : https://blog.paperspace.com/data-augmentation-for-bounding-boxes/

GitHub : https://github.com/Paperspace/DataAugmentationForObjectDetection/blob/master/quick-start.ipynb

#artificialintelligence #deeplearning #machinelearning

@ArtificialIntelligenceArticles

Musical Neural Networks in the Browser

Slides by Tero Parviainen : https://teropa.info/wac2018 @ArtificialIntelligenceArticles

Introduction to astroML: Machine Learning for Astrophysics

VanderPlas et al.: https://arxiv.org/pdf/1411.5039.pdf

#astrophysics #deeplearning #machinelearning @ArtificialIntelligenceArticles

Best paper award at #emnlp2018

"Phrase-Based & Neural Unsupervised Machine Translation"

Lample et al.: https://arxiv.org/abs/1804.07755

Code:
https://github.com/facebookresearch/UnsupervisedMT

Blog:
https://code.fb.com/ai-research/unsupervised-machine-translation-a-novel-approach-to-provide-fast-accurate-translations-for-more-languages/

#computation #deeplearning #language

https://t.iss.one/ArtificialIntelligenceArticles

A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System

David Tschopp et al.: https://arxiv.org/abs/1806.04793

#artificialintelligence #machinelearning #neuralnetworks

@ArtificialIntelligenceArticles

Cat-to-cat translation with pix2pix

Code : https://github.com/keijiro/Pix2Pix @ArtificialIntelligenceArticles

On the Learning Dynamics of Deep Neural Networks.

Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville, and Yoshua Bengio

https://arxiv.org/abs/1809.06848

@ArtificialIntelligenceArticles

Blake Richards: Deep Learning with Ensembles of Neocortical Microcircuits


An inspiring talk by Blake Richards at the ICLR2018 emphasizing the interaction between neuroscience and machine learning. This intersection is where great things happen.

https://goo.gl/1YCjrm


https://t.iss.one/ArtificialIntelligenceArticles

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models

Strobelt et al.: https://seq2seq-vis.io

An online TensorFlow handbook (https://tf.wiki/ ) based on Eager Execution

(Both Chinese and English version are available online)

Open-sourced on GitHub : https://github.com/snowkylin/TensorFlow-cn