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Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler.
Gaurav Verma
Swetang Finviya
Abid M. Malik
Murali Emani
Barbara M. Chapman
Published in:
CF (2022)
Keyphrases
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deep learning
neural architecture
general purpose
unsupervised learning
neural network
machine learning
feed forward
multiscale
activation function
weakly supervised
data sets
genetic algorithm
training set
expectation maximization
mental models