← Search

Aliaksandr Hubin

2 accepted papers

2024

Incorporating probabilistic domain knowledge into deep multiple instance learning

ICML 2024poster

Deep learning methods, including deep multiple instance learning methods, have been criticized for their limited ability to incorporate domain knowledge. A reason that knowledge incorporation is challenging in deep learning is that the models usually lack a mapping between their model components and…

Cited by 0SourcePDFScholar
2024

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

ICML 2024poster

In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language datasets. However, a broader perspective reveals a multitude of overlooked metrics, tasks, and data types, such as uncertai…

Cited by 36SourcePDFScholar