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8-bit integer inference, as a promising direction in reducing both the latency and storage of deep neural networks, has made great progress recently.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Binarized neural networks
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Efficient processing of deep neural networks: A tutorial and survey
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Highly efficient 8-bit low precision inference of convolutional neural networks with intelcaffe
Jiong Gong, Haihao Shen, Guoming Zhang, Xiaoli Liu, Shane Li, Ge Jin, Niharika Maheshwari, Evarist Fomenko, and Eden Segal · 2018
Earlier work this paper cites.
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan, and Daniel Soudry · 2018
Earlier work this paper cites.
Quantization and training of neural networks for efficient integer-arithmetic-only inference
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, and Dmitry Kalenichenko · 2018
Cited alongside, same era.
Rethinking floating point for deep learning
Jeff Johnson · 2018
Cited alongside, same era.
Mixed precision training
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, and Hao Wu · 2018
Cited alongside, same era.
Pieces of eight: 8-bit neural machine translation
Jerry Quinn and Miguel Ballesteros · 2018
Cited alongside, same era.
Adaptive input representations for neural language modeling
Alexei Baevski and Michael Auli · 2019
Cited alongside, same era.
Efficient 8-bit quantization of transformer neural machine language translation model
Fully quantized transformer for improved translation
Gabriele Prato, Ella Charlaix, and Mehdi Rezagholizadeh · 2019
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Energy and policy considerations for deep learning in NLP
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
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Learning deep transformer models for machine translation
Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, and Lidia S. Chao · 2019
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Sharing attention weights for fast transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, and Tongran Liu · 2019
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Neural machine translation with joint representation
Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, and Jingbo Zhu · 2020
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Aishwarya Bhandare, Vamsi Sripathi, Deepthi Karkada, Vivek Menon, Sun Choi, Kushal Datta, and Vikram Saletore · 2019
Cited alongside, same era.
Ephrem Wu · 2020
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