Search "+Food -Beer -Differentiable neural computers +Dim sum +Andy Connelly +Dropout -Machine translation +Bread +Trappist beer"

Positive matches

• 0.058 + - Chinese cuisine
• 0.056 + - Paper/Srivastava2014
• 0.032 + - Social media
• 0.021 + - Whiskey
• 0.020 + - Odor
• 0.019 + - Guardian
• 0.018 + - Restaurants
• 0.015 + - Wine pairing
• 0.014 + - Cake
• 0.011 + - Stretching
• 0.011 + - Calorie
• 0.009 + - Music
• 0.009 + - Catching Fire: How Cooking Made Us Human
• 0.009 + - Food pairing
• 0.006 + - Diet
• 0.005 + - Health
• 0.005 + - Public datasets
• 0.003 + - Food choice
• 0.003 + - Chocolate cake
• 0.003 + - Home

Negative matches

• 0.057 + - Paper/Graves2016DNC
• 0.052 + - Linguistic diversity
• 0.052 + - Deep learning
• 0.028 + - Computer science
• 0.028 + - Language
• 0.028 + - Convolutional Neural Network
• 0.021 + - Meta learning
• 0.012 + - Artificial neural network
• 0.009 + - Cheese
• 0.008 + - Research advices
• 0.007 + - TensorFlow
• 0.006 + - word2vec
• 0.005 + - Theano
• 0.005 + - Marc'Aurelio Ranzato
• 0.005 + - Natural language processing
• 0.003 + - Recurrent neural network
• 0.003 + - Deep learning and graphs
• 0.003 + - Interdisciplinary research
• 0.003 + - Quoc Le
• 0.003 + - Reinforcement learning