2023
A Unified Approach to Count-Based Weakly Supervised Learning
NeurIPS 2023poster
High-quality labels are often very scarce, whereas unlabeled data with inferred weak labels occurs more naturally. In many cases, these weak labels dictate the frequency of each respective class over a set of instances. In this paper, we develop a unified approach to learning from such weakly-labele…