30 citations · 98 across the 13 of their papers we have counts for
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cs.CV2022★ 1 cited
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers
Natalia Frumkin, Dibakar Gope, Diana Marculescu
When considering post-training quantization, prior work has typically focused on developing a mixed precision scheme or learning the best way to partition a network for quantizatio…
cs.CV2022★ 2 cited
Restructurable Activation Networks
Kartikeya Bhardwaj, James Ward, Caleb Tung +6
Is it possible to restructure the non-linear activation functions in a deep network to create hardware-efficient models? To address this question, we propose a new paradigm called…