Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein... arxiv.org/abs/1907.10087

Meet Your AI-Generated Dream Anime Girl

https://medium.com/syncedreview/meet-your-ai-generated-dream-anime-girl-5dc149c5eab4

ACL 2019 acceptance rates

https://acl2019pcblog.fileli.unipi.it/?p=161

New fast.ai course: A Code-First Introduction to Natural Language Processing

https://www.fast.ai/2019/07/08/fastai-nlp/

Github: https://github.com/fastai/course-nlp

Videos: https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9

Artificial Intelligence can generate interesting story endings. It picks important phrases of a story and creates more “diverse” endings.

Great work on WriterForcing by Carnegie Mellon University, which takes Seq2Seq models to the next level.

Read arxiv.org/pdf/1907.08259

A Neural Network Based On-device Learning Anomaly Detector for Edge Devices. arxiv.org/abs/1907.10147

Uniform convergence may be unable to explain generalization in deep learning

Vaishnavh Nagarajan and J. Zico Kolter : https://arxiv.org/abs/1902.04742

Code : https://locuslab.github.io/2019-07-09-uniform-convergence/

#deeplearning #machinelearning #neuralnetworks

A Fine-Grained Spectral Perspective on Neural Networks
Greg Yang and Hadi Salman : https://arxiv.org/abs/1907.10599
Compute eigenvalues : https://github.com/thegregyang/NNspectra
#MachineLearning #NeuralComputing #EvolutionaryComputing

Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP

Yu et al.: https://arxiv.org/abs/1906.02768

#nlp #neuralnetwork #reinforcementlearning #neuralnetworks

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Morcos et al.: https://arxiv.org/abs/1906.02773
#ArtificialIntelligence #MachineLearning #NeuralComputing

Machine Learning in Medicine

Alvin Rajkomar, M.D., Jeffrey Dean, Ph.D. and Isaac Kohane, M.D., Ph.D.


Authors describe the core structural changes and paradigm shifts in the health care system that are necessary to enable the full promise of machine learning in medicine



https://www.nejm.org/doi/full/10.1056/NEJMra1814259
#artificialintelligence #medicine #healthcare #doctors #physicians

A comprehensive guide to putting a machine learning model in production using Flask, Docker, and Kubernetes
https://www.mikulskibartosz.name/a-comprehensive-guide-to-putting-a-machine-learning-model-in-production/

In 5.30 mins Eric Topol summarizes beautifully what Deep Medicine is all about: Deep phenotyping, deep learning and deep empathy. Or how Artificial Intelligence can be a powerful tool to improve medicine in the modern world.

Topol on Deep Medicine

https://www.youtube.com/watch?v=h8YdPKQRNDU

Interesting paper: A guide to deep learning in healthcare by Jeff Dean , Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, Volodymyr Kuleshov, Mark DePristo, Katherine Chou, Claire Cui, Greg Corrado, Sebastian Thrun https://www.nature.com/articles/s41591-018-0316-z https://t.iss.one/ArtificialIntelligenceArticles

Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy |

https://www.nature.com/articles/s41374-019-0202-4

#ai #pathology #medicine

Lifelong GAN: Continual Learning for Conditional Image Generation
Zhai et al.: https://arxiv.org/abs/1907.10107
#deeplearning #generativemodels #GAN