Neural Network Compression by Approximate Differential Equivalence

Ravi Dhiman, Andrea Passarella, Mirco Tribastone +1

Neural network compression is commonly achieved by pruning parameters based on local importance scores, e.g., magnitude-based pruning. We propose a complementary approach that comp…