Search "+Innovation -Paper -Paper/Graves2016DNC -Deep learning +DeepMind +Diffusion of innovations +Alex Graves -Residual Learning -Innovation hot spots"

Positive matches

• 0.051 + - Paper/Graves2014NTM
• 0.038 + - Basic research
• 0.028 + - Meme
• 0.021 + - Substitutive dynamics
• 0.021 + - Network science
• 0.020 + - Information spreading
• 0.019 + - Diffusion of innovation
• 0.017 + - Diversity
• 0.008 + - Paper/Iacopini2018
• 0.008 + - Paper/Jara-Figueroa2015
• 0.007 + - Creative work
• 0.007 + - William Rosen
• 0.007 + - Andreas Wagner
• 0.006 + - Home
• 0.006 + - Paper/Tria2014novelties
• 0.004 + - Network sampling
• 0.004 + - Karine Nahon
• 0.004 + - Jeff Hemsley
• 0.003 + - David Easley
• 0.003 + - Collaboration network

Negative matches

• 0.066 + - Residual leanrning
• 0.054 + - Paper/Mukherjee2017hotspot
• 0.040 + - Convolutional neural network
• 0.027 + - Differentiable neural computers
• 0.024 + - Meta learning
• 0.023 + - Artificial neural network
• 0.022 + - Neural Turing machine
• 0.016 + - Neural doodle
• 0.014 + - Natural language processing
• 0.013 + - Machine translation
• 0.012 + - Beer
• 0.011 + - Amazon Elastic Compute Cloud
• 0.010 + - Deep generative models
• 0.009 + - Dropout
• 0.009 + - Brain and deep learning
• 0.009 + - Reinforcement learning
• 0.008 + - Generative adversarial networks
• 0.008 + - Attention
• 0.008 + - Amazon EC2
• 0.007 + - Generative adversarial network