Search "+Home -Language -Linguistic diversity +Differentiable neural computers -Urban legend +WALS +Travel -Language development -Evolution of language +Autoencoder"

Positive matches

• 0.063 + - Deep learning
• 0.050 + - Paper/Graves2016DNC
• 0.035 + - Generative adversarial network
• 0.021 + - Meta learning
• 0.017 + - MusicVAE
• 0.017 + - Variational autoencoder
• 0.017 + - Generative adversarial networks
• 0.017 + - Paper/Vincent2010
• 0.017 + - Variational Autoencoder
• 0.014 + - Boston
• 0.014 + - 부여
• 0.013 + - Artificial neural network
• 0.011 + - Yosemite National Park
• 0.011 + - Acadia National Park
• 0.011 + - Topsfield fair
• 0.011 + - New York
• 0.011 + - Chicago
• 0.011 + - Brooksby farm
• 0.008 + - Theano
• 0.006 + - Funny things

Negative matches

• 0.010 + - Metaphor
• 0.010 + - Language detection
• 0.010 + - Linguistic relativity
• 0.010 + - Zipf's law
• 0.010 + - Happinness
• 0.010 + - Language of thought
• 0.010 + - English language
• 0.004 + - Convolutional Neural Network
• 0.004 + - Power law
• 0.002 + - Pareto principle
• 0.002 + - Urban scaling
• 0.002 + - Allometry
• 0.002 + - Thermostat
• 0.001 + - Yann LeCun
• 0.001 + - Topic modeling
• 0.001 + - Boosting (machine learning)
• 0.000 + - Recurrent neural network
• 0.000 + - Marc'Aurelio Ranzato
• 0.000 + - Machine translation