When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA.
Hongxiang FanHao ChenLiam CastelliZhiqiang QueHe LiKenneth LongWayne LukPublished in: CoRR (2023)
Keyphrases
- monte carlo
- neural network
- monte carlo methods
- monte carlo simulation
- importance sampling
- markov chain monte carlo
- simulation study
- matrix inversion
- markov chain
- adaptive sampling
- stochastic approximation
- particle filter
- optimal strategy
- maximum likelihood
- monte carlo tree search
- monte carlo method
- genetic algorithm
- simulated annealing
- temporal difference learning
- game tree
- statistical inference
- bayesian learning
- posterior distribution
- reinforcement learning
- conditional density estimation