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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 3: AAAI-21 Technical Tracks 3

SA-BNN: State-Aware Binary Neural Network

February 1, 2023

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Authors

Chunlei Liu

Beihang University The University of Adelaide


Peng Chen

The University of Adelaide


Bohan Zhuang

Monash University


Chunhua Shen

The University of Adelaide


Baochang Zhang

Beihang University


Wenrui Ding

Beihang University


DOI:

10.1609/aaai.v35i3.16306


Abstract:

Binary Neural Networks (BNNs) have received significant attention due to the memory and computation efficiency recently. However, the considerable accuracy gap between BNNs and their full-precision counterparts hinders BNNs to be deployed to resource-constrained platforms. One of the main reasons for the performance gap can be attributed to the frequent weight flip, which is caused by the misleading weight update in BNNs. To address this issue, we propose a state-aware binary neural network (SA-BNN) equipped with the well designed state-aware gradient. Our SA-BNN is inspired by the observation that the frequent weight flip is more likely to occur, when the gradient magnitude for all quantization states {-1,1} is identical. Accordingly, we propose to employ independent gradient coefficients for different states when updating the weights. Furthermore, we also analyze the effectiveness of the state-aware gradient on suppressing the frequent weight flip problem. Experiments on ImageNet show that the proposed SA-BNN outperforms the current state-of-the-arts (e.g., Bi-Real Net) by more than 3% when using a ResNet architecture. Specifically, we achieve 61.7%, 65.5% and 68.7% Top-1 accuracy with ResNet-18, ResNet-34 and ResNet-50 on ImageNet, respectively.

Topics: AAAI

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HOW TO CITE:

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding SA-BNN: State-Aware Binary Neural Network Proceedings of the AAAI Conference on Artificial Intelligence (2021) 2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding SA-BNN: State-Aware Binary Neural Network AAAI 2021, 2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding (2021). SA-BNN: State-Aware Binary Neural Network. Proceedings of the AAAI Conference on Artificial Intelligence, 2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding. SA-BNN: State-Aware Binary Neural Network. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding. 2021. SA-BNN: State-Aware Binary Neural Network. "Proceedings of the AAAI Conference on Artificial Intelligence". 2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding. (2021) "SA-BNN: State-Aware Binary Neural Network", Proceedings of the AAAI Conference on Artificial Intelligence, p.2091-2099

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding, "SA-BNN: State-Aware Binary Neural Network", AAAI, p.2091-2099, 2021.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding. "SA-BNN: State-Aware Binary Neural Network". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding. "SA-BNN: State-Aware Binary Neural Network". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 2091-2099.

Chunlei Liu||Peng Chen||Bohan Zhuang||Chunhua Shen||Baochang Zhang||Wenrui Ding. SA-BNN: State-Aware Binary Neural Network. AAAI[Internet]. 2021[cited 2023]; 2091-2099.


ISSN: 2374-3468


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