3 papers
cs.LG2020
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators
Zhanhong Tan, Jiebo Song, Xiaolong Ma +8
Weight pruning is a powerful technique to realize model compression. We propose PCNN, a fine-grained regular 1D pruning method. A novel index format called Sparsity Pattern Mask (S…
cs.LG2019
Domain Constraint Approximation based Semi Supervision
Yifu Wu, Jin Wei, Rigoberto Roche
Deep learning for supervised learning has achieved astonishing performance in various machine learning applications. However, annotated data is expensive and rare. In practice, onl…
cs.CR2018
Blockchain as a Service: A Decentralized and Secure Computing Paradigm
Gihan J. Mendis, Yifu Wu, Jin Wei +2
Thanks to the advances in machine learning, data-driven analysis tools have become valuable solutions for various applications. However, there still remain essential challenges to…