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On instabilities of deep learning in image reconstruction and the potential costs of AI
Deep learning, due to its unprecedented success in tasks such as image classification, has emerged as a new tool in image reconstruction with potential to change the field. In this paper, we demonstrate a crucial phenomenon: Deep learning typically yields unstable methods for image reconstruction. T...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7720232/ https://ncbi.nlm.nih.gov/pubmed/32393633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1907377117 |
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