Importance predictor Runtime agent ( RNN ) ur at Conv layer t Trade-off pruner Static agent ( RNN ) r ats Select Select
Importance predictor Runtime agent ( RNN ) ur at Conv layer t Trade-off pruner Static agent ( RNN ) r ats Select Select
2019
0 Citations
TLDR
Comparison experimental results with existing runtime and static pruning methods on state-of-the-art CNNs demonstrate that the proposed framework is able to provide a tradeoff between dynamic flexibility and storage efficiency in runtime channel pruning.
