Search "+Food -Beer +Chinese cuisine -Jürgen Schmidhuber +Autoencoder -Geoffrey Hinton +Variational autoencoder -Bun -Volodymyr Kuleshov"

Positive matches

• 0.066 + - Generative adversarial networks
• 0.064 + - Generative adversarial network
• 0.032 + - Social media
• 0.031 + - MusicVAE
• 0.031 + - Variational Autoencoder
• 0.030 + - Dumpling
• 0.030 + - Dim sum
• 0.021 + - Paper/Vincent2010
• 0.018 + - Odor
• 0.013 + - Jeremy Jordan
• 0.013 + - Kevin Frans
• 0.013 + - Wine pairing
• 0.012 + - Carl Doersch
• 0.012 + - Stefano Ermon
• 0.012 + - Graphical model
• 0.010 + - Music
• 0.009 + - Stretching
• 0.007 + - Food pairing
• 0.007 + - Meta learning
• 0.007 + - Food choice

Negative matches

• 0.113 + - Deep learning
• 0.056 + - Musical composition
• 0.056 + - Paper/Srivastava2014
• 0.028 + - Trappist beer
• 0.027 + - Cheese
• 0.026 + - Andy Connelly
• 0.023 + - Bread
• 0.018 + - Cinder toffee
• 0.006 + - Cake
• 0.004 + - Diet
• 0.003 + - Deep learning and graphs
• 0.003 + - Residual Learning
• 0.002 + - Thermostat
• 0.002 + - TensorFlow
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - word2vec
• 0.002 + - Quoc Le
• 0.001 + - Andrew Ng
• 0.001 + - Convolutional neural network
• 0.001 + - Molecular dyanmics