دورية أكاديمية
Operating Critical Machine Learning Models in Resource Constrained Regimes
| العنوان: | Operating Critical Machine Learning Models in Resource Constrained Regimes |
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| المؤلفون: | Selvan, Raghavendra, Schön, Julian, Dam, Erik B. |
| المصدر: | Selvan , R , Schön , J & Dam , E B 2024 , Operating Critical Machine Learning Models in Resource Constrained Regimes . in Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops : MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings . , Chapter 29 , Springer , Lecture Notes in Computer Science , vol. 14394 , pp. 325-335 , 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023 , Vancouver , Canada , 08/10/2023 . https://doi.org/10.1007/978-3-031-47425-5_29Test |
| بيانات النشر: | Springer |
| سنة النشر: | 2024 |
| المجموعة: | University of Copenhagen: Research / Forskning ved Københavns Universitet |
| الوصف: | The accelerated development of machine learning methods, primarily deep learning, are causal to the recent breakthroughs in medical image analysis and computer aided intervention. The resource consumption of deep learning models in terms of amount of training data, compute and energy costs are known to be massive. These large resource costs can be barriers in deploying these models in clinics, globally. To address this, there are cogent efforts within the machine learning community to introduce notions of resource efficiency. For instance, using quantisation to alleviate memory consumption. While most of these methods are shown to reduce the resource utilisation, they could come at a cost in performance. In this work, we probe into the trade-off between resource consumption and performance, specifically, when dealing with models that are used in critical settings such as in clinics. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| DOI: | 10.1007/978-3-031-47425-5_29 |
| الإتاحة: | https://doi.org/10.1007/978-3-031-47425-5_29Test https://curis.ku.dk/portal/da/publications/operating-critical-machine-learning-models-inresource-constrained-regimesTest(e8440101-184b-46ce-b4c0-7acb155b5d5f).html https://curis.ku.dk/ws/files/383097267/Operating_critical.pdfTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.D06A96AF |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/978-3-031-47425-5_29 |
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