1.1k citations · 3.1k across the 12 of their papers we have counts for
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Training Deep Neural Networks with 8-bit Floating Point Numbers
Naigang Wang, Jungwook Choi, Daniel Brand +2
The state-of-the-art hardware platforms for training Deep Neural Networks (DNNs) are moving from traditional single precision (32-bit) computations towards 16 bits of precision --…
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Jungwook Choi, Pierce I-Jen Chuang, Zhuo Wang +3
Deep learning algorithms achieve high classification accuracy at the expense of significant computation cost. In order to reduce this cost, several quantization schemes have gained…
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi, Zhuo Wang, Swagath Venkataramani +3
Deep learning algorithms achieve high classification accuracy at the expense of significant computation cost. To address this cost, a number of quantization schemes have been propo…