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Positive matches

• 0.024 + - Policy
• 0.023 + - Graph embedding
• 0.017 + - Probability theory
• 0.015 + - Network geometry
• 0.015 + - Convolutional neural network
• 0.012 + - Research funding
• 0.011 + - Information theory
• 0.011 + - Residual leanrning
• 0.010 + - CNN
• 0.009 + - Edwin Thompson Jaynes
• 0.007 + - Continuous embedding
• 0.007 + - NLP
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - GloVe
• 0.005 + - Collaborative software
• 0.005 + - Scientific communication
• 0.005 + - Research advices
• 0.005 + - StanfordNLP
• 0.005 + - Paper/Gatys2015
• 0.004 + - Lexical feature selection

Negative matches

• 0.009 + - Language
• 0.002 + - Amazon EC2
• 0.002 + - Attention
• 0.002 + - Archetype
• 0.001 + - Reinforcement learning
• 0.001 + - Future of work
• 0.001 + - Q-learning
• 0.001 + - GraphLab
• 0.001 + - Machine learning
• 0.001 + - Attention (Deep learning)
• 0.001 + - Theano
• 0.001 + - Modeling animal behaviors with reinforcement learning
• 0.001 + - Privacy and Deanonymization
• 0.001 + - AWS
• 0.000 + - Geoffrey Hinton
• 0.000 + - Neural doodle
• 0.000 + - Evolution strategy
• 0.000 + - LSTM
• 0.000 + - Cake
• 0.000 + - Jürgen Schmidhuber