7 citations · 10 across the 4 of their papers we have counts for
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cs.AR2021★ 7 cited
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention
Zhe Zhou, Junlin Liu, Zhenyu Gu +1
In recent years, transformer models have revolutionized Natural Language Processing (NLP) and shown promising performance on Computer Vision (CV) tasks. Despite their effectiveness…
cs.CV2021★ 3 cited
Distribution Adaptive INT8 Quantization for Training CNNs
Kang Zhao, Sida Huang, Pan Pan +4
Researches have demonstrated that low bit-width (e.g., INT8) quantization can be employed to accelerate the inference process. It makes the gradient quantization very promising sin…