"CNN features are also great at unsupervised classification": Now, it's common sense - ImageNet feature works https://arxiv.org/abs/1707.01700
Interesting! How AI detectives are cracking open the black box of deep learning http://www.sciencemag.org/news/2017/07/how-ai-detectives-are-cracking-open-black-box-deep-learning #DeepLearning #AI
The most cited (top 100) deep learning papers (2012-2016)
I'm maintaining this list. Please let me know good papers.
https://github.com/terryum/awesome-deep-learning-papers
I'm maintaining this list. Please let me know good papers.
https://github.com/terryum/awesome-deep-learning-papers
"Iterative Spectral Clustering for Unsupervised Object Localization": No bounding box or image-level labels required https://arxiv.org/abs/1706.09719
'Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks' https://arxiv.org/abs/1707.01836 #deeplearning #AI #machinelearning
"StreetStyle: Exploring world-wide clothing styles from millions of photos" https://arxiv.org/abs/1706.01869
Understanding and Implementing CycleGAN in TensorFlow"
https://hardikbansal.github.io/CycleGANBlog/
https://hardikbansal.github.io/CycleGANBlog/
Where #MachineLearning meets rule-based systems" - interesting read on a very real problem in applied ML
https://blog.foretellix.com/2017/07/06/where-machine-learning-meets-rule-based-verification/
https://blog.foretellix.com/2017/07/06/where-machine-learning-meets-rule-based-verification/
The Foretellix CTO Blog
Where Machine Learning meets rule-based verification
Summary: This post addresses some high-level questions like: Longer term, how much of the verification of Intelligent Autonomous Systems can be done with just Machine Learning (ML)? Should most req…
Bayesian neural networks uncertainty can be used to distinguish
adversarial from non-adversarial images! new results http://mlg.eng.cam.ac.uk/yarin/publications.html#LiGal2017Alpha
adversarial from non-adversarial images! new results http://mlg.eng.cam.ac.uk/yarin/publications.html#LiGal2017Alpha
Classification of Images & Illustrations in Biomedical Literature Using Synergic https://arxiv.org/pdf/1706.09092.pdf #DeepLearning #MachineLearning
#خبر
The AI revolution in science
http://www.sciencemag.org/news/2017/07/ai-revolution-science #AI #MachineLearning #DeepLearning #BigData #ML #DL #science
The AI revolution in science
http://www.sciencemag.org/news/2017/07/ai-revolution-science #AI #MachineLearning #DeepLearning #BigData #ML #DL #science
Learning to Avoid Errors in GANs by Manipulating Input Spaces
https://arxiv.org/abs/1707.00768
https://arxiv.org/abs/1707.00768
جدیدترین مقاله Andrew Y. Ng در تاریخ Submitted on 6 Jul 2017)
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
https://arxiv.org/abs/1707.01836
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
https://arxiv.org/abs/1707.01836
Detection of Falciparum Using #MachineLearning #Algorithms. #BigData #DataScience #AI #HealthTech #HealthIT
http://buff.ly/2tzAm9S
http://buff.ly/2tzAm9S
Great #AI Read
An Overview of Multi-Task Learning in Deep #NeuralNetworks
http://buff.ly/2t0zpqG
#DeepLearning #NLP #BigData
An Overview of Multi-Task Learning in Deep #NeuralNetworks
http://buff.ly/2t0zpqG
#DeepLearning #NLP #BigData
Want better relational inference? 1) 2D convolute embeddings 2) stop using WN18 & FB15k: https://arxiv.org/abs/1707.01476
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games https://arxiv.org/abs/1707.01067 https://github.com/facebookresearch/ELF
Algorithm diagnoses heart arrhythmias with cardiologist-level accuracy: http://stan.md/2uz9nLy
Up to Speed on Deep Learning https://hackernoon.com/up-to-speed-on-deep-learning-may-update-a146d851f14f
ADE20K dataset from CSAIL, MIT for scene parsing, image segmentation, and multi-object recognition. http://groups.csail.mit.edu/vision/datasets/ADE20K/
DeepTraffic: How an MIT Simulation Game Uses Deep Learning to Reduce Gridlock | The Official NVIDIA http://bit.ly/2sAbcX2 #ai #ml #dl