Downloads provided by UsageCounts
Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper: Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan and Allan Hanbury (https://arxiv.org/abs/2010.02666) for the documentation please see: https://github.com/sebastian-hofstaetter/neural-ranking-kd
neural ranking, knowledge distillation, information retrieval
neural ranking, knowledge distillation, information retrieval
| 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). | 0 | |
| 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 |
| views | 42 | |
| downloads | 75 |

Views provided by UsageCounts
Downloads provided by UsageCounts