Search "+Food -Beer -Cinder toffee +Residual Learning +Flavor -Wine pairing +Public datasets +Autoencoder +Paper/Vincent2010"

Positive matches

• 0.075 + - Human song
• 0.067 + - Generative adversarial network
• 0.055 + - Olfaction
• 0.046 + - Generative adversarial networks
• 0.041 + - Residual leanrning
• 0.034 + - Convolutional neural network
• 0.034 + - Deep learning
• 0.033 + - MusicVAE
• 0.032 + - Social media
• 0.025 + - Artificial neural network
• 0.024 + - Variational Autoencoder
• 0.021 + - Variational autoencoder
• 0.019 + - Yoshua Bengio
• 0.019 + - Odor
• 0.019 + - Pascal Vincent
• 0.019 + - Isabelle Lajoie
• 0.018 + - Hugo Larochelle
• 0.018 + - Pierre-Antoine Manzagol
• 0.018 + - Paper
• 0.017 + - Meta learning

Negative matches

• 0.082 + - Andy Connelly
• 0.080 + - Food choice
• 0.060 + - Food pairing
• 0.028 + - Trappist beer
• 0.024 + - Bread
• 0.024 + - Cheese
• 0.012 + - Restaurants
• 0.011 + - Catching Fire: How Cooking Made Us Human
• 0.010 + - Calorie
• 0.007 + - Cake
• 0.003 + - Deep learning and graphs
• 0.002 + - Health
• 0.002 + - Taste
• 0.002 + - word2vec
• 0.001 + - Molecular dyanmics
• 0.001 + - Diet
• 0.001 + - Continuous embedding
• 0.001 + - Guardian
• 0.001 + - Recipes
• 0.001 + - Gensim