Abstract
We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstracted and obfuscating. We address this task for upcoming radio astronomy surveys and present the derived semantic radio galaxy morphology class targets.
Original language | English |
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Number of pages | 6 |
Publication status | Published - 26 Oct 2022 |
Event | Advances in Neural Information Processing Systems - New Orleans, United States Duration: 10 Dec 2023 → 16 Dec 2023 |
Conference
Conference | Advances in Neural Information Processing Systems |
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Abbreviated title | NIPS |
Country/Territory | United States |
City | New Orleans |
Period | 10/12/23 → 16/12/23 |
Keywords
- astro-ph.IM
- cs.CL