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

Positive matches

• 0.066 + - Generative adversarial networks
• 0.058 + - Generative adversarial network
• 0.031 + - MusicVAE
• 0.031 + - Variational Autoencoder
• 0.030 + - Dumpling
• 0.030 + - Dim sum
• 0.026 + - Social media
• 0.021 + - Odor
• 0.020 + - Paper/Vincent2010
• 0.014 + - Wine pairing
• 0.014 + - Volodymyr Kuleshov
• 0.014 + - Jeremy Jordan
• 0.013 + - Kevin Frans
• 0.012 + - Carl Doersch
• 0.012 + - Stefano Ermon
• 0.012 + - Graphical model
• 0.010 + - Stretching
• 0.010 + - Food pairing
• 0.009 + - Music
• 0.008 + - Artificial neural network

Negative matches

• 0.112 + - Deep learning
• 0.057 + - word2vec
• 0.056 + - tf-idf
• 0.056 + - Musical composition
• 0.056 + - Paper/Srivastava2014
• 0.029 + - tfidf
• 0.028 + - Trappist beer
• 0.026 + - Andy Connelly
• 0.023 + - Cheese
• 0.021 + - Bread
• 0.021 + - Cinder toffee
• 0.015 + - Lexical feature selection
• 0.007 + - Text analysis
• 0.007 + - Word embedding
• 0.006 + - Tomas Mikolov
• 0.005 + - Sentence embedding
• 0.005 + - Diet
• 0.004 + - Cake
• 0.004 + - WordRank
• 0.004 + - TensorFlow