13 citations · 20 across the 3 of their papers we have counts for
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cs.CV2021★ 3 cited
Automated Backend-Aware Post-Training Quantization
Ziheng Jiang, Animesh Jain, Andrew Liu +4
Quantization is a key technique to reduce the resource requirement and improve the performance of neural network deployment. However, different hardware backends such as x86 CPU, N…
cs.CV2020
MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement
Xin Liu, Ziheng Jiang, Josh Fromm +3
There are large individual differences in physiological processes, making designing personalized health sensing algorithms challenging. Existing machine learning systems struggle t…
cs.CV2018
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Josh Fromm, Shwetak Patel, Matthai Philipose
Recent work has shown that fast, compact low-bitwidth neural networks can be surprisingly accurate. These networks use homogeneous binarization: all parameters in each layer or (mo…