5 citations · 12 across the 4 of their papers we have counts for
4 papers
Weakly Supervised Label Learning Flows
You Lu, Wenzhuo Song, Chidubem Arachie +1
Supervised learning usually requires a large amount of labelled data. However, attaining ground-truth labels is costly for many tasks. Alternatively, weakly supervised methods lear…
Data Consistency for Weakly Supervised Learning
Chidubem Arachie, Bert Huang
In many applications, training machine learning models involves using large amounts of human-annotated data. Obtaining precise labels for the data is expensive. Instead, training w…
Constrained Labeling for Weakly Supervised Learning
Chidubem Arachie, Bert Huang
Curation of large fully supervised datasets has become one of the major roadblocks for machine learning. Weak supervision provides an alternative to supervised learning by training…
Woodbury Transformations for Deep Generative Flows
You Lu, Bert Huang
Normalizing flows are deep generative models that allow efficient likelihood calculation and sampling. The core requirement for this advantage is that they are constructed using fu…