Improving the repeatability of deep learning models with Monte Carlo dropout.
Andréanne LemayKatharina HoebelChristopher P. BridgeBrian BefanoSilvia De SanjoséDidem EgemenAna Cecilia RodriguezMark SchiffmanJohn Peter CampbellJayashree Kalpathy-CramerPublished in: CoRR (2022)
Keyphrases
- monte carlo
- learning models
- learning tasks
- machine learning
- markov chain
- loss function
- learning algorithm
- monte carlo simulation
- machine learning algorithms
- semi supervised learning
- importance sampling
- conditional random fields
- monte carlo tree search
- classification models
- adaptive sampling
- monte carlo methods
- learning problems
- particle filter
- markovian decision
- game tree
- state space
- variance reduction
- matrix inversion