no code implementations
23 Dec 2021
Recently, various approaches on partial-label learning have been proposed under different generation models of candidate label sets.
Partial Label Learning
1 code implementation
We study the problem of learning from aggregate observations where supervision signals are given to sets of instances instead of individual instances, while the goal is still to predict labels of unseen individuals.