Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM
Abstract 在DeepLearning日益发展的同时，模型压缩的关注度也越来越大。继BWN和TWN之后， 这篇论文在超低比特量化领域的一篇新思想文章，发表在AAAI2018上，作者是阿里的。 该文的主要思想是将超低bit quantization建模成一个离散约束优化问题(discretely constrained optimization problem)。借助ADMM(Alternat
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相关文章
- 1. 【神经网络的压缩(第二弹)】Extremely Low Bit Nerual Network
- 2. Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
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- 8. leetcode 717. 1-bit and 2-bit Characters ( Python )
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- 10. LeetCode之1 bit and 2 bit Characters（Kotlin）