Yi Sheng

Breaking the Compression Barrier: Cross-Architecture Compression Boundary Learning via Reverse Regrowth

Model compression is critical for deploying networks on resource-constrained edge devices. While pruning-based methods can significantly reduce model size, they often suffer from abrupt performance collapse beyond a sparsity thresh-old, making it difficult to identify the feasible compression limit of the model. To add...