Mirror Descent view for Neural Network quantization
Quantizing large Neural Networks (NN) while maintaining the performance is highly desirable for resource-limited devices due to reduced memory and time complexity. It is usually formulated as a constrained optimization problem and optimized via a modified version of gradient descent. In this work, b...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Journal of Machine Learning Research
2021
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