Akiyuki Tanizawa

Decomposable-Net: Scalable Low-Rank Compression for Neural Networks

Compressing DNNs is important for the real-world applications operating on resource-constrained devices. However, we typically observe drastic performance deterioration when changing model size after training is completed. Therefore, retraining is required to resume the performance of the compressed…