Language GANs Falling Short"
Caccia et al.: https://arxiv.org/pdf/1811.02549.pdf
#artificialintelligence #deeplearning #generativeadversarialnetworks #language #machinelearning
Caccia et al.: https://arxiv.org/pdf/1811.02549.pdf
#artificialintelligence #deeplearning #generativeadversarialnetworks #language #machinelearning
Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks. https://arxiv.org/abs/1811.02628
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Open a Github-hosted notebook in Google Colab
Simple browser extension to quickly open GitHub-hosted Jupyter notebooks in Google Colab:https://goo.gl/zLm9jh @ArtificialIntelligenceArticles
Simple browser extension to quickly open GitHub-hosted Jupyter notebooks in Google Colab:https://goo.gl/zLm9jh @ArtificialIntelligenceArticles
Machine learning in medicine: Addressing ethical challenges
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689 @ArtificialIntelligenceArticles
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689 @ArtificialIntelligenceArticles
Neural scene rendering: Transfer learning to render a fruit still life from photos
By Brett Göhre: https://docs.google.com/presentation/d/182KZT1Qg1rY8qnroDytn-4z5ODFjNSYkfNlwbDJAI-o/
By Brett Göhre: https://docs.google.com/presentation/d/182KZT1Qg1rY8qnroDytn-4z5ODFjNSYkfNlwbDJAI-o/
NIPS 2018 Demographics and Inclusion Survey
Results of the NIPS 2018 Demographics & Inclusion Survey: https://github.com/hal3/nips2018survey
#NIPS2018
Results of the NIPS 2018 Demographics & Inclusion Survey: https://github.com/hal3/nips2018survey
#NIPS2018
Gradient Descent Finds Global Minima of Deep Neural Networks"
Du et al.: https://arxiv.org/abs/1811.03804
Du et al.: https://arxiv.org/abs/1811.03804
A Beginner's Guide to the Mathematics of Neural Networks
By A.C.C. Coolen : https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.3556&rep=rep1&type=pdf
By A.C.C. Coolen : https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.3556&rep=rep1&type=pdf
Machine learning, meet quantum computing
A quantum version of the building block behind neural networks could be exponentially more powerful.
By Emerging Technology from the arXiv: https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/
An Artificial Neuron Implemented on an Actual Quantum Processor, Tacchino et al.:
https://arxiv.org/abs/1811.02266
A quantum version of the building block behind neural networks could be exponentially more powerful.
By Emerging Technology from the arXiv: https://www.technologyreview.com/s/612435/machine-learning-meet-quantum-computing/
An Artificial Neuron Implemented on an Actual Quantum Processor, Tacchino et al.:
https://arxiv.org/abs/1811.02266
MIT Technology Review
Machine learning, meet quantum computing
Back in 1958, in the earliest days of the computing revolution, the US Office of Naval Research organized a press conference to unveil a device invented by a psychologist named Frank Rosenblatt at the Cornell Aeronautical Laboratory. Rosenblatt called his…
Videos of the Deep Learning and Reinforcement Learning Summer School, Toronto 2018
https://videolectures.net/DLRLsummerschool2018_toronto @ArtificialIntelligenceArticles
https://videolectures.net/DLRLsummerschool2018_toronto @ArtificialIntelligenceArticles
Best of arXiv.org for AI, Machine Learning, and Deep Learning – October 2018
link : https://goo.gl/Mk1cNb @ArtificialIntelligenceArticles
link : https://goo.gl/Mk1cNb @ArtificialIntelligenceArticles
The Revenge of Neurons
By Dominique Cardon, Jean-Philippe Cointet and Antoine Mazières: https://neurovenge.antonomase.fr/
By Dominique Cardon, Jean-Philippe Cointet and Antoine Mazières: https://neurovenge.antonomase.fr/
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules by Nicholas Frosst, Sara Sabour, Geoffrey Hinton https://arxiv.org/abs/1811.06969
Researchers Created an 'AI Physicist' That Can Derive the Laws of Physics in Imaginary Universes by Tailin Wu (MIT), Max Tegmark (MIT) https://arxiv.org/abs/1810.10525
Video recordings of lectures from "Advanced Deep Learning and Reinforcement Learning" by DeepMind
https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs
Models, Inference & Algorithms (MIA) is a new Broad initiative to support learning and collaboration across the interface of biology and mathematics /statistics / machine learning https://goo.gl/adw5aQ
One NLP model to rule them all
Hierarchical Multi-Task Learning model. SOTA on several NLP tasks Demo: https://huggingface.co/hmtl/
Code: https://github.com/huggingface/hmtl/tree/master/demo
Hierarchical Multi-Task Learning model. SOTA on several NLP tasks Demo: https://huggingface.co/hmtl/
Code: https://github.com/huggingface/hmtl/tree/master/demo
andrew ng : Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
paper : https://goo.gl/xMigX3 or https://goo.gl/VBVhzx
paper : https://goo.gl/xMigX3 or https://goo.gl/VBVhzx
Efficiently measuring a quantum device using machine learning
paper : https://arxiv.org/abs/1810.10042 #ArtificialInteligence #QuantumPhysics #Research #Physics #MachineLearning
paper : https://arxiv.org/abs/1810.10042 #ArtificialInteligence #QuantumPhysics #Research #Physics #MachineLearning
If an eye doctor looked at a retinal photo, the chance of getting gender correct would be 50-50.
But deep learning training led to an AUC of 0.97 https://www.nature.com/articles/s41551-018-0195-0
But deep learning training led to an AUC of 0.97 https://www.nature.com/articles/s41551-018-0195-0