35 citations · 37 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Boosting Pruned Networks with Linear Over-parameterization
Yu Qian, Jian Cao, Xiaoshuang Li +3
Structured pruning compresses neural networks by reducing channels (filters) for fast inference and low footprint at run-time. To restore accuracy after pruning, fine-tuning is usu…
cs.PL2021★ 35 cited
MLGO: a Machine Learning Guided Compiler Optimizations Framework
Mircea Trofin, Yundi Qian, Eugene Brevdo +3
Leveraging machine-learning (ML) techniques for compiler optimizations has been widely studied and explored in academia. However, the adoption of ML in general-purpose, industry st…
cs.SE2020★ 2 cited
PSCS: A Path-based Neural Model for Semantic Code Search
Zhensu Sun, Yan Liu, Chen Yang +1
To obtain code snippets for reuse, programmers prefer to search for related documents, e.g., blogs or Q&A, instead of code itself. The major reason is due to the semantic diversity…