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Meta-Learning with Warped Gradient Descent. https://arxiv.org/abs/1909.00025
Fast and Accurate Network Embeddings via Very Sparse Random Projection. https://arxiv.org/abs/1908.11512
Supervised learning using backpropagation is limited in terms of applications and efficacy. Many new AI approaches attempt to move beyond this traditional algorithm for training neural networks



https://www.topbots.com/deeper-than-deep-learning-beyond-backpropagation-geoffrey-hinton/
This man spent 20 years hammering away at his idea
Most of AI superstars has learned from him https://www.youtube.com/watch?v=UTfQwTuri8Y&feature=share
Happy birthday to the late John McCarthy, father of AI & LISP:

https://bit.ly/2omV4Y1
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Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks
Foong et al.: https://arxiv.org/abs/1909.00719
#Bayesian #NeuralNetworks #MachineLearning
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in betw... https://arxiv.org/abs/1909.00021
Creating a data set and a challenge for deepfakes
https://ai.facebook.com/blog/deepfake-detection-challenge/
ParaQG: A System for Generating Questions and Answers from Paragraphs
Kumar et al.: https://arxiv.org/abs/1909.01642
#ArtificialIntelligence #Language #MachineLearning
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