15 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Cyclical Pruning for Sparse Neural Networks
Suraj Srinivas, Andrey Kuzmin, Markus Nagel +3
Current methods for pruning neural network weights iteratively apply magnitude-based pruning on the model weights and re-train the resulting model to recover lost accuracy. In this…
cs.LG2019★ 15 cited
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks
Andrey Kuzmin, Markus Nagel, Saurabh Pitre +3
The success of deep neural networks in many real-world applications is leading to new challenges in building more efficient architectures. One effective way of making networks more…