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When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA.
Hongxiang Fan
Mark Chen
Liam Castelli
Zhiqiang Que
He Li
Kenneth Long
Wayne Luk
Published in:
DAC (2023)
Keyphrases
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monte carlo
neural network
monte carlo methods
markov chain
importance sampling
monte carlo simulation
markov chain monte carlo
stochastic approximation
simulation study
monte carlo tree search
monte carlo method
particle filter
bayesian networks
genetic algorithm
adaptive sampling
field programmable gate array
global illumination
matrix inversion
hardware implementation
posterior probability
conditional density estimation
game tree search
variance reduction
temporal difference
kalman filter
maximum likelihood