1. RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
2. Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
3. Jungwook Choi , Zhuo Wang , Swagath Venkataramani , Pierce I-Jen Chuang , Vijayalakshmi Srinivasan, and Kailash Gopalakrishnan. 2018 . Pact : Parameterized clipping activation for quantized neural networks. arXiv preprint arXiv:1805.06085 (2018). Jungwook Choi, Zhuo Wang, Swagath Venkataramani, Pierce I-Jen Chuang, Vijayalakshmi Srinivasan, and Kailash Gopalakrishnan. 2018. Pact: Parameterized clipping activation for quantized neural networks. arXiv preprint arXiv:1805.06085 (2018).
4. Deep Residual Learning for Image Recognition
5. Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss