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
Attention and Memory in Deep Learning
https://www.youtube.com/watch?v=Q57rzaHHO0k @ArtificialIntelligenceArticles
https://www.youtube.com/watch?v=Q57rzaHHO0k @ArtificialIntelligenceArticles
Yandex Data School: Course in Natural Language Processing
Github Course by Russian Search Giant
* lectures
* seminars
* home assignments
https://github.com/yandexdataschool/nlp_course
Github Course by Russian Search Giant
* lectures
* seminars
* home assignments
https://github.com/yandexdataschool/nlp_course
The Physics of Brain Network Structure. #BigData #Analytics #DeepLearning https://arxiv.org/abs/1809.06441 @ArtificialIntelligenceArticles
Machine Learning For Jet Physics: New, Or Just Cool, Ideas https://www.science20.com/tommaso_dorigo/machine_learning_for_jet_physics_new_or_just_cool_ideas-235272 @ArtificialIntelligenceArticles
Generating a Training Dataset for Land Cover Classification to Advance Global Development. https://arxiv.org/abs/1811.07998
SQuAD2.0: The Stanford Question Answering Dataset
Leaderboard: https://rajpurkar.github.io/SQuAD-explorer/
#artificialintelligence #bigdata #deeplearning #machinelearning #NaturalLanguageProcessing
Leaderboard: https://rajpurkar.github.io/SQuAD-explorer/
#artificialintelligence #bigdata #deeplearning #machinelearning #NaturalLanguageProcessing
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks https://arxiv.org/abs/1811.09350
DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution"
Bontrager et al.: https://arxiv.org/abs/1705.07386
Bontrager et al.: https://arxiv.org/abs/1705.07386
Do Better ImageNet Models Transfer Better?
By Simon Kornblith, Jonathon Shlens, Quoc V. Le: https://arxiv.org/abs/1805.08974
#ComputerVision #PatternRecognition #MachineLearning
By Simon Kornblith, Jonathon Shlens, Quoc V. Le: https://arxiv.org/abs/1805.08974
#ComputerVision #PatternRecognition #MachineLearning
Explainable cardiac pathology classification on cine MRI with motion characterization https://arxiv.org/abs/1811.03433