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Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis ,
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DPS: Adaptive Power Management for Overprovisioned Systems:
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Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 ,
2
Navigating the Dynamic Noise Landscape of Variational Quant..:
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Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security ,
3
Prediction Privacy in Distributed Multi-Exit Neural Network..:
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SC23: International Conference for High Performance Computing, Networking, Storage and Analysis ,
4
DPS: Adaptive Power Management for Overprovisioned Systems:
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Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software ,
6
GOAL: Supporting General and Dynamic Adaptation in Computin..:
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Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering ,
7
AgileCtrl: a self-adaptive framework for configuration tuni..:
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Proceedings of the 44th International Conference on Software Engineering ,
8
Automated testing of software that uses machine learning AP..:
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Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1 ,
9
CAFQA: A Classical Simulation Bootstrap for Variational Qua..:
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Proceedings of the 51st International Conference on Parallel Processing ,
10
Penelope: Peer-to-peer Power Management:
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2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) ,
11
Automated Testing of Software that Uses Machine Learning AP..:
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Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems ,
12
Protecting adaptive sampling from information leakage on lo..:
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Proceedings of the ACM International Conference on Supercomputing ,
13
Proxima : accelerating the integration of machine learni..:
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Proceedings of the 43rd International Conference on Software Engineering ,
14
Are Machine Learning Cloud APIs Used Correctly?:
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Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization ,
15