
The application of machine learning has significantly advanced the field of compilers. The effectiveness of machine learning algorithms for compilers depends on the accuracy and expressiveness of code representation, which in turn affects the model's learning capacity and overall performance. Rouxinol offers developers an infrastructure that facilitates exploration and innovation in this area.
Machine Learning, Code Representation, Compiler
Machine Learning, Code Representation, Compiler
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
