1. Azat Azamat , Faaiz Asim , and Jongeun Lee . 2021 . Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. In 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD). IEEE, 1--7. Azat Azamat, Faaiz Asim, and Jongeun Lee. 2021. Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. In 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD). IEEE, 1--7.
2. AQD: Towards Accurate Quantized Object Detection
3. Matthieu Courbariaux , Itay Hubara , Daniel Soudry , Ran El-Yaniv , and Yoshua Bengio . 2016. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. arXiv preprint arXiv:1602.02830 ( 2016 ). Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2016. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. arXiv preprint arXiv:1602.02830 (2016).
4. Quantization of deep neural networks for accumulator-constrained processors
5. Steven K Esser , Jeffrey L McKinstry , Deepika Bablani , Rathinakumar Appuswamy , and Dharmendra S Modha . 2019. Learned Step Size Quantization. arXiv preprint arXiv:1902.08153 ( 2019 ). Steven K Esser, Jeffrey L McKinstry, Deepika Bablani, Rathinakumar Appuswamy, and Dharmendra S Modha. 2019. Learned Step Size Quantization. arXiv preprint arXiv:1902.08153 (2019).