Search "+Food -Beer -Yoshua Bengio +Paper/Vincent2010 -Meta learning +Paper/Goodfellow2014 -Deep learning -Odor +Dumpling"

Positive matches

• 0.112 + - Generative adversarial network
• 0.058 + - Chinese cuisine
• 0.044 + - Paper
• 0.029 + - Generative adversarial networks
• 0.028 + - Ian J. Goodfellow
• 0.020 + - MusicVAE
• 0.020 + - Social media
• 0.016 + - Isabelle Lajoie
• 0.016 + - Pascal Vincent
• 0.016 + - Pierre-Antoine Manzagol
• 0.016 + - Hugo Larochelle
• 0.014 + - Wine pairing
• 0.011 + - Stretching
• 0.009 + - Music
• 0.003 + - Variational Autoencoder
• 0.003 + - Dim sum
• 0.003 + - Cooking
• 0.003 + - Public datasets
• 0.003 + - Food pairing
• 0.003 + - Rice

Negative matches

• 0.111 + - Olfaction
• 0.064 + - Reinforcement learning
• 0.031 + - Modeling animal behaviors with reinforcement learning
• 0.030 + - Cheese
• 0.028 + - Trappist beer
• 0.028 + - Paper/Bahdanau2015
• 0.027 + - Evolution strategy
• 0.026 + - Andy Connelly
• 0.025 + - Bread
• 0.025 + - Q-learning
• 0.018 + - Residual leanrning
• 0.018 + - Attention (Deep learning)
• 0.017 + - Cinder toffee
• 0.010 + - Natural language processing
• 0.010 + - Cake
• 0.009 + - Cecilia Mascolo
• 0.008 + - Residual Learning
• 0.008 + - Deep learning and graphs
• 0.008 + - Recurrent neural network
• 0.008 + - TensorFlow