Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel.
Stanislav FortGintare Karolina DziugaiteMansheej PaulSepideh KharaghaniDaniel M. RoySurya GanguliPublished in: NeurIPS (2020)
Keyphrases
- kernel learning
- deep learning
- kernel function
- kernel matrix
- unsupervised learning
- multiple kernel learning
- kernel methods
- support vector regression
- semi supervised
- machine learning
- learning tasks
- optimal kernel
- dimensionality reduction
- neural network
- weakly supervised
- pairwise constraints
- low rank
- mental models
- data sets
- semi supervised learning
- feature space
- support vector