Search Results for author:
Found 2 papers, 1 papers with code
Pruning Deep Neural Networks using Partial Least Squares
Finally, we show that the proposed method achieves the highest FLOPs reduction and the smallest drop in accuracy when compared to state-of-the-art pruning approaches.
Latent hypernet: Exploring all Layers from Convolutional Neural Networks
To demonstrate the robustness and accuracy of the LHN, we evaluate it using four different networks architectures in five publicly available HAR datasets based on wearable sensors, which vary in the sampling rate and number of activities.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
