Robert Adolf

Weightless: Lossy Weight Encoding For Deep Neural Network Compression

The large memory requirements of deep neural networks strain the capabilities of many devices, limiting their deployment and adoption. Model compression methods effectively reduce the memory requirements of these models, usually through applying transformations such as weight pruning or quantization…