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

Positive matches

• 0.066 + - Generative adversarial networks
• 0.064 + - Generative adversarial network
• 0.056 + - Chocolate cake
• 0.032 + - Social media
• 0.031 + - MusicVAE
• 0.031 + - Variational Autoencoder
• 0.030 + - Dumpling
• 0.030 + - Dim sum
• 0.029 + - Andy Connelly
• 0.020 + - Odor
• 0.020 + - Paper/Vincent2010
• 0.014 + - Volodymyr Kuleshov
• 0.013 + - Jeremy Jordan
• 0.013 + - Kevin Frans
• 0.012 + - Carl Doersch
• 0.012 + - Stefano Ermon
• 0.012 + - Graphical model
• 0.011 + - Wine pairing
• 0.010 + - Food pairing
• 0.010 + - Stretching

Negative matches

• 0.112 + - Deep learning
• 0.056 + - Musical composition
• 0.056 + - Paper/Srivastava2014
• 0.026 + - Trappist beer
• 0.022 + - Bread
• 0.017 + - Cinder toffee
• 0.016 + - Cheese
• 0.002 + - Diet
• 0.002 + - Deep learning and graphs
• 0.002 + - Thermostat
• 0.002 + - Convolutional neural network
• 0.002 + - TensorFlow
• 0.002 + - Andrew Ng
• 0.002 + - Marc'Aurelio Ranzato
• 0.001 + - Molecular dyanmics
• 0.001 + - word2vec
• 0.001 + - Quoc Le
• 0.001 + - Continuous embedding
• 0.001 + - Brain
• 0.001 + - Gensim