
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ISBN:978-1-4503-9385-0
FOS: Computer and information sciences, Computer Science - Machine Learning, deep neural networks, Computer Vision and Pattern Recognition (cs.CV), meta learning, Computer Science - Computer Vision and Pattern Recognition, memory-efficient training, Numerical Analysis and Scientific Computing, Machine Learning (cs.LG)
FOS: Computer and information sciences, Computer Science - Machine Learning, deep neural networks, Computer Vision and Pattern Recognition (cs.CV), meta learning, Computer Science - Computer Vision and Pattern Recognition, memory-efficient training, Numerical Analysis and Scientific Computing, Machine Learning (cs.LG)
| 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). | 8 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
