Hybrid method applies pruning and quantization followed by MoE routing of compressed CNN experts to achieve large reductions in FLOPs and parameters with negligible accuracy loss on benchmarks.
arXiv preprint arXiv:2004.10568 (2020)
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Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks
Hybrid method applies pruning and quantization followed by MoE routing of compressed CNN experts to achieve large reductions in FLOPs and parameters with negligible accuracy loss on benchmarks.