Preconditioners for the Stochastic Training of Implicit Neural Representations.
Shin-Fang ChngHemanth SaratchandranSimon LuceyPublished in: CoRR (2024)
Keyphrases
- neural network
- distributed representations
- network architecture
- training process
- test set
- neural model
- training samples
- edge preserving
- linear systems
- training examples
- higher level
- iterative methods
- training set
- recurrent networks
- internal representations
- monte carlo
- stochastic optimization
- bundle adjustment
- image restoration
- online learning
- artificial neural networks
- object recognition
- reinforcement learning
- learning algorithm