Search "+Food -Beer +Chinese cuisine -Jürgen Schmidhuber +Autoencoder -Geoffrey Hinton -Paper/Srivastava2014 -Ruslan Salakhutdinov -Stretching"

Positive matches

• 0.044 + - Generative adversarial network
• 0.034 + - Social media
• 0.030 + - Dumpling
• 0.029 + - Dim sum
• 0.029 + - Bun
• 0.024 + - Odor
• 0.023 + - Restaurants
• 0.023 + - Calorie
• 0.019 + - MusicVAE
• 0.019 + - Variational autoencoder
• 0.019 + - Generative adversarial networks
• 0.019 + - Paper/Vincent2010
• 0.019 + - Variational Autoencoder
• 0.015 + - Wine pairing
• 0.015 + - Olfaction
• 0.012 + - Food pairing
• 0.009 + - Catching Fire: How Cooking Made Us Human
• 0.009 + - Food choice
• 0.008 + - Music
• 0.008 + - Public datasets

Negative matches

• 0.119 + - Deep learning
• 0.056 + - Yoga
• 0.056 + - Musical composition
• 0.053 + - Home
• 0.052 + - Health
• 0.028 + - Trappist beer
• 0.026 + - Andy Connelly
• 0.023 + - Bread
• 0.022 + - Cheese
• 0.022 + - Cinder toffee
• 0.016 + - Ilya Sutskever
• 0.016 + - Alex Krizhevsky
• 0.016 + - Nitish Srivastava
• 0.016 + - Dropout
• 0.014 + - Paper
• 0.004 + - Cake
• 0.003 + - Acupuncture
• 0.003 + - Google
• 0.003 + - Dietary supplement
• 0.003 + - Health care