Search "+Food -Beer -Yoshua Bengio +Fig +Paper/Bahdanau2015 -RNN -Prediction using social media -SAX -Paper/Vincent2010"

Positive matches

• 0.038 + - Attention
• 0.022 + - Dzmitry Bahdanau
• 0.021 + - Kyunghyun Cho
• 0.021 + - Odor
• 0.014 + - Wine pairing
• 0.010 + - Stretching
• 0.008 + - Music
• 0.006 + - Natural language processing
• 0.006 + - Computational creativity
• 0.006 + - Paper
• 0.004 + - Musical composition
• 0.003 + - Food pairing
• 0.003 + - Dim sum
• 0.003 + - Tofu
• 0.003 + - Restaurants
• 0.003 + - Dumpling
• 0.003 + - Public datasets
• 0.003 + - Rice
• 0.003 + - Catching Fire: How Cooking Made Us Human
• 0.003 + - Coffee

Negative matches

• 0.133 + - Time series
• 0.087 + - Recurrent neural network
• 0.070 + - Correlation
• 0.062 + - Deep learning
• 0.039 + - Generative adversarial networks
• 0.033 + - Yogi Berra
• 0.033 + - Prediction
• 0.031 + - Generative adversarial network
• 0.029 + - Autoencoder
• 0.028 + - Trappist beer
• 0.028 + - Paper/Goodfellow2014
• 0.026 + - Andy Connelly
• 0.024 + - Collective intelligence
• 0.024 + - Stock market prediction
• 0.023 + - Cheese
• 0.021 + - Bread
• 0.021 + - Cinder toffee
• 0.016 + - Pascal Vincent
• 0.016 + - Pierre-Antoine Manzagol
• 0.016 + - Hugo Larochelle