Floating Point Accuracy Testing in Deep Neural Network Computations via Hypothesis Testing.
Chaojin WangJian ShenPublished in: APSEC (2020)
Keyphrases
- hypothesis testing
- floating point
- neural network
- statistical tests
- likelihood ratio
- hypothesis tests
- fixed point
- confidence intervals
- robust statistical
- sparse matrices
- hypothesis test
- test statistic
- error rate
- machine learning
- instruction set
- null hypothesis
- statistical significance
- likelihood ratio test
- general purpose