@@ -395,6 +395,10 @@ This project is licensed under the Apache License 2.0 - see the [LICENSE.md](LIC
### Research papers citing Distiller:
- Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh.<br>
*[Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic]( https://arxiv.org/abs/1906.11915)*,<br>
arXiv:1906.11915, 2019.
- Gil Shomron, Tal Horowitz, Uri Weiser.<br>
*[SMT-SA: Simultaneous Multithreading in Systolic Arrays](https://ieeexplore.ieee.org/document/8742541)*,<br>
In IEEE Computer Architecture Letters (CAL), 2019.
*[SinReQ: Generalized Sinusoidal Regularization for Low-Bitwidth Deep Quantized Training](https://arxiv.org/abs/1905.01416),*<br>
arXiv:1905.01416, 2019.
- Goncharenko A., Denisov A., Alyamkin S., Terentev E.<br>
*[Trainable Thresholds for Neural Network Quantization](https://rd.springer.com/chapter/10.1007/978-3-030-20518-8_26),*<br>
In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence Lecture Notes in Computer Science, vol 11507. Springer, Cham. International Work-Conference on Artificial Neural Networks (IWANN 2019).
- Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh.<br>
*[Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks](https://arxiv.org/abs/1906.06033),*
arXiv:1906.06033, 2019
- Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang.<br>
*[Improving Neural Network Quantization without Retraining using Outlier Channel Splitting](https://arxiv.org/abs/1901.09504),*<br>
- Angad S. Rekhi, Brian Zimmer, Nikola Nedovic, Ningxi Liu, Rangharajan Venkatesan, Miaorong Wang, Brucek Khailany, William J. Dally, C. Thomas Gray.<br>
*[Analog/Mixed-Signal Hardware Error Modeling for Deep Learning Inference](https://research.nvidia.com/sites/default/files/pubs/2019-06_Analog/Mixed-Signal-Hardware-Error/40_2_Rekhi_AMS_ML.pdf)*,<br>
