701 citations · 1.1k across the 18 of their papers we have counts for
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Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization
Seongmin Park, Beomseok Kwon, Jieun Lim +3
Uniform-precision neural network quantization has gained popularity since it simplifies densely packed arithmetic unit for high computing capability. However, it ignores heterogene…
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…