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cs.LG2024
Unified Stochastic Framework for Neural Network Quantization and Pruning
Haoyu Zhang, Rayan Saab
Quantization and pruning are two essential techniques for compressing neural networks, yet they are often treated independently, with limited theoretical analysis connecting them.…
cs.LG2024
Accumulator-Aware Post-Training Quantization for Large Language Models
Ian Colbert, Giuseppe Franco, Fabian Grob +2
When quantizing weights and activations to increasingly narrower representations, the cost of additions begins to dominate that of multiplications in multiply-accumulate (MAC) unit…