Jerónimo Hernández-González

On the relative value of weak information of supervision for learning generative models: An empirical study

2022 · International Journal of Approximate Reasoning

Weakly supervised learning is aimed to learn predictive models from partially supervised data, an easy-to-collect alternative to the costly standard full supervision. During the last decade, the research community has striven to show that learning …