The High-Dimensional Geometry of Binary Neural Networks.
Alexander G. AndersonCory P. BergPublished in: ICLR (Poster) (2018)
Keyphrases
- high dimensional
- neural network
- binary data
- back propagation
- low dimensional
- pattern recognition
- nearest neighbor
- three dimensional
- artificial neural networks
- multi layer
- similarity search
- data points
- variable selection
- manifold learning
- low dimensional manifolds
- parameter space
- recurrent neural networks
- neural network model
- metric space
- high dimensional data
- dimensionality reduction
- fuzzy logic
- feature space
- high dimensional problems
- euclidean geometry
- sparse coding
- noisy data
- high dimensionality
- fault diagnosis
- feed forward
- sparse data
- cellular neural networks
- multi dimensional
- reinforcement learning
- similarity measure
- data sets