Search "+Food -Beer -Yoshua Bengio +Paper/Vincent2010 -Meta learning +Paper/Goodfellow2014 -Pascal Vincent -Autoencoder -Evolution strategy"

Positive matches

• 0.076 + - Generative adversarial network
• 0.041 + - Paper
• 0.028 + - Ian J. Goodfellow
• 0.024 + - Social media
• 0.022 + - Odor
• 0.015 + - Wine pairing
• 0.014 + - Generative adversarial networks
• 0.014 + - Pierre-Antoine Manzagol
• 0.014 + - Isabelle Lajoie
• 0.013 + - Hugo Larochelle
• 0.011 + - Stretching
• 0.009 + - Music
• 0.003 + - Public datasets
• 0.003 + - Dim sum
• 0.003 + - Cooking
• 0.003 + - Dumpling
• 0.003 + - Fig
• 0.003 + - Food porn
• 0.003 + - Food pairing
• 0.003 + - Rice

Negative matches

• 0.167 + - Reinforcement learning
• 0.123 + - Deep learning
• 0.043 + - Q-learning
• 0.028 + - Trappist beer
• 0.028 + - Paper/Bahdanau2015
• 0.026 + - Andy Connelly
• 0.024 + - Modeling animal behaviors with reinforcement learning
• 0.023 + - Cheese
• 0.021 + - Bread
• 0.021 + - Cinder toffee
• 0.018 + - Attention (Deep learning)
• 0.017 + - Variational autoencoder
• 0.015 + - Variational Autoencoder
• 0.008 + - Brain and deep learning
• 0.008 + - Recurrent neural network
• 0.007 + - Artificial neural network
• 0.007 + - Deep generative models
• 0.006 + - Deep learning and graphs
• 0.006 + - Thermostat
• 0.005 + - Keras