Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression

ArXi:2510.09696v2 Announce Type: replace-cross The increasing scale of Deep Neural Networks (DNNs) increases the need for compression techniques such as pruning, quantization, and low-rank decomposition. While these methods are very effective at reducing memory, computation, and energy consumption, they may