PruneFuse combines pruning at initialization with weight fusion and knowledge distillation to make active learning data selection cheaper and to initialize the final model.
Faster r-cnn: Towards real-time object detection with region proposal networks
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Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
PruneFuse combines pruning at initialization with weight fusion and knowledge distillation to make active learning data selection cheaper and to initialize the final model.