On the Robustness of Monte Carlo Dropout Trained With Noisy Labels.
Purvi GoelLi ChenPublished in: CVPR Workshops (2021)
Keyphrases
- monte carlo
- training set
- importance sampling
- markov chain
- monte carlo simulation
- monte carlo methods
- stochastic approximation
- optimal strategy
- simulation study
- training data
- monte carlo tree search
- pairwise
- markovian decision
- noisy data
- particle filter
- matrix inversion
- svm classifier
- missing data
- computational cost
- search algorithm
- global illumination
- bayesian networks
- decision trees
- point processes
- quasi monte carlo
- machine learning