101 citations · 127 across the 9 of their papers we have counts for
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cs.CV2022★ 1 cited
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning
Dan Liu, Xue Liu
Most existing pruning works are resource-intensive, requiring retraining or fine-tuning of the pruned models for accuracy. We propose a retraining-free pruning method based on hype…
cs.CV2021★ 1 cited
Pruning Ternary Quantization
Dan Liu, Xi Chen, Jie Fu +2
Inference time, model size, and accuracy are three key factors in deep model compression. Most of the existing work addresses these three key factors separately as it is difficult…