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20132023
most citedDoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

1.8k citations · 2.4k across the 36 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 3 cited

Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond

Dachao Lin, Peiqin Sun, Guangzeng Xie +2

Quantized Neural Networks (QNNs) use low bit-width fixed-point numbers for representing weight parameters and activations, and are often used in real-world applications due to thei…

cs.CV2020

Are L2 adversarial examples intrinsically different?

Mingxuan Li, Jingyuan Wang, Yufan Wu

Deep Neural Network (DDN) has achieved notable success in various tasks, including many security concerning scenarios. However, a considerable amount of work has proved its vulnera…