ArtificialIntelligenceArticles

A recent paper by Google AI researchers on scaling up CNNs in a more structured manner.
This was published in ICML 2019!

In general, the EfficientNet models achieve both higher accuracy and better efficiency over existing CNNs.

https://www.profillic.com/paper/arxiv:1905.11946

Profillic

Profillic: AI research & source code to supercharge your projects

Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…

375 views09:14

ArtificialIntelligenceArticles

Geometric Deep Learning making strides. Videos available. https://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/

https://geometricdeeplearning.com/

Geometricdeeplearning

Geometric Deep Learning - Grids, Groups, Graphs, Geodesics, and Gauges

375 views09:22

ArtificialIntelligenceArticles

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities
Kohl et al.: https://arxiv.org/abs/1905.13077
#ArtificialIntelligence #DeepLearning #MachineLearning

335 views12:37

ArtificialIntelligenceArticles

Gaussian Differential Privacy
Dong et al.: https://arxiv.org/abs/1905.02383
#MachineLearning #Cryptography #Security #DataStructures #Algorithms

arXiv.org

Gaussian Differential Privacy

Differential privacy has seen remarkable success as a rigorous and practical formalization of data privacy in the past decade. This privacy definition and its divergence based relaxations,...

335 views12:37

ArtificialIntelligenceArticles

7 Tesla MRI of the ex vivo human brain at 100 micron resolution
Edlow et al.: https://www.biorxiv.org/content/biorxiv/early/2019/05/31/649822.full.pdf
#artificialintelligence #brain #human #technology

304 views12:38

ArtificialIntelligenceArticles

Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors
Cully et al.: https://arxiv.org/pdf/1905.11874.pdf
#QualityDiversity #Optimization #Evolution #Robotics #DeepLearning

304 views12:41

ArtificialIntelligenceArticles

Practical Full Resolution Learned Lossless Image Compression
Mentzer et al.: https://arxiv.org/abs/1811.12817
PyTorch Implementation: https://github.com/fab-jul/L3C-PyTorch
#deeplearning #machinelearning #pytorch #technology

315 views12:43

ArtificialIntelligenceArticles

JeVois: tiny open-source camera+ARM with ConvNet-based vision. Runs Linux, OpenCV, TF, etc. $59.
Pretty cool.

https://jevois.org/

jevois.org

JeVois smart machine vision camera

306 views13:30

ArtificialIntelligenceArticles

How Renormalization Theory in Physics explains the incredible performance of Deep Neural Networks [https://towardsdatascience.com/deep-learning-explainability-hints-from-physics-2f316dc07727](https://towardsdatascience.com/deep-learning-explainability-hints-from-physics-2f316dc07727)

Medium

Deep Learning Explainability: Hints from Physics

Deep Neural Networks from a Physics Viewpoint

383 views13:31

ArtificialIntelligenceArticles

https://blog.ml.cmu.edu/2019/05/31/using-deep-learning-to-help-us-understand-language-processing-in-the-brain/

Machine Learning Blog | ML@CMU | Carnegie Mellon University

Using Deep Learning to Help Us Understand Language Processing in the Brain

Imagine for a moment that we can take snippets of text, give them to a computational model, and that the model can perfectly predict some of the brain activity recorded from a person who was reading the same text. Can we learn anything about how the brain…

425 views14:59

ArtificialIntelligenceArticles

https://medium.com/p/deep-learning-explainability-hints-from-physics-2f316dc07727