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Michael Maire

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ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML...18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24)2024-07-10
Paper builds ChameleonAPI that parses app code to extract a decision-making summary, then uses it to construct an application-specific loss function and…
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Run-Time Prevention of Software Integration Failures of Machine Learning APIsOOPSLA 20232023-10-23
SmartGear is a run-time adapter that sits between ML cloud APIs and application code, inserted via bytecode instrumentation, that detects…
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ALERT: Accurate Learning for Energy and TimelinessUSENIX ATC '202020-07-15
ALERT is a runtime scheduler that simultaneously picks a DNN and a power cap per input, using a probabilistic global slowdown factor and a Kalman filter to…
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