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Geir Kjetil Sandve

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
2020

Modern Hopfield Networks and Attention for Immune Repertoire Classification

NeurIPS 2020spotlight

A central mechanism in machine learning is to identify, store, and recognize patterns. How to learn, access, and retrieve such patterns is crucial in Hopfield networks and the more recent transformer architectures. We show that the attention mechanism of transformer architectures is actually the upd…