Best Papers vs. Top Cited Papers in Computer Science (since 1996)
The score in the bracket after each conference represents its average MAP score. MAP (Mean Average Precision) is a measure to evaluate the ranking performance. The MAP score of a conference in a year is calculated by viewing best papers of the conference in the corresponding year as the ground truth and the top cited papers as the ranking results.
HPCA ( Average MAP: 0.8254)
HPCA 2020「 MAP: 0.6667 」Rank&Cited by
HPCA 2015「 MAP: 0.8889 」Rank&Cited by
HPCA 2013「 MAP: 0.3333 」Rank&Cited by
HPCA 2012「 MAP: 0.8889 」Rank&Cited by
HPCA 2011「 MAP: 1.0 」Rank&Cited by