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Found 2 papers, 0 papers with code
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging
Through experiments conducted on real-world simulations and comparisons with state-of-the-art deep learning-based approaches, we demonstrate the efficacy of our solution.
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics
It considers the importance of convolutional filters through both instability and sensitivity, and allows users to interactively create pruning plans according to a desired goal on model size or accuracy.
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