ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices

no code implementations • ECCV 2020 • Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng

The matrix composed of basis vectors is referred to as the proxy matrix, and auxiliary variables serve as the coefficients of this linear combination.

Binarization Quantization

Soft Threshold Ternary Networks

1 code implementation • 4 Apr 2022 • Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng

The latest STTN shows that ResNet-18 with ternary weights and ternary activations achieves up to 68. 2% Top-1 accuracy on ImageNet.

Quantization

Improving Binary Neural Networks through Fully Utilizing Latent Weights

no code implementations • 12 Oct 2021 • Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng

Binary Neural Networks (BNNs) rely on a real-valued auxiliary variable W to help binary training.

Architecture Aware Latency Constrained Sparse Neural Networks

no code implementations • 1 Sep 2021 • Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng

Acceleration of deep neural networks to meet a specific latency constraint is essential for their deployment on mobile devices.