4 citations · 12 across the 10 of their papers we have counts for
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cs.CV2023★ 1 cited
Poster: Self-Supervised Quantization-Aware Knowledge Distillation
Kaiqi Zhao, Ming Zhao
Quantization-aware training (QAT) starts with a pre-trained full-precision model and performs quantization during retraining. However, existing QAT works require supervision from t…
cs.CV2022★ 2 cited
Adaptive Activation-based Structured Pruning
Kaiqi Zhao, Animesh Jain, Ming Zhao
Pruning is a promising approach to compress complex deep learning models in order to deploy them on resource-constrained edge devices. However, many existing pruning solutions are…