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<li><a href="/publication/conference-paper/iclr2021/brecq/">BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction</a></li>
<li><a href="/publication/conference-paper/iccv2019/dsq/">Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks</a></li>
<li><a href="/publication/conference-paper/cvpr2020/ir_net/">Forward and Backward Information Retention for Accurate Binary Neural Networks</a></li>
<li><a href="/publication/conference-paper/cvpr2020/int8_training/">Towards Unified INT8 Training for Convolutional Neural Network</a></li>
<li><a href="/publication/conference-paper/iclr2020/dms/">DMS: Differentiable Dimension Search for Binary Neural Networks</a></li>
<li><a href="/publication/journal-article/pr/2020/bnn_survey/">Binary neural networks: A survey</a></li>
<li><a href="/publication/conference-paper/cvpr2021/dsg/">Diversifying Sample Generation for Accurate Data-Free Quantization</a></li>
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<li><a href="/publication/conference-paper/icpp2020/low_bit_conv_optim/">Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures</a></li>
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