Engineering & Materials Science
Deep learning
100%
Tensors
90%
Factorization
60%
Neural networks
32%
Convolutional neural networks
27%
Deep neural networks
27%
Decomposition
26%
Quantum entanglement
25%
Networks (circuits)
19%
Extrapolation
15%
Image resolution
15%
Recurrent neural networks
14%
Chemical activation
12%
Wave functions
9%
Optical resolving power
9%
Geometry
8%
Polynomials
8%
Convolution
8%
Image compression
7%
Trajectories
6%
Initial value problems
6%
Physics
6%
Mathematics
Learning
34%
Tensor
34%
Neural Networks
26%
Gradient Descent
25%
Factorization
24%
Regularization
24%
Tensor Rank
17%
Expressive Power
16%
Training
14%
Extrapolation
14%
Recurrent Neural Networks
13%
Optimization
10%
Locality
10%
Extrapolate
10%
Expressiveness
8%
Theoretical Analysis
8%
Architecture
6%
Matrix Factorization
6%
Pooling
5%
Arts & Humanities
Geometry
17%
Decomposition
15%
Entanglement
14%
Descent
13%
Neural Networks
13%
Layer
7%
