OMProv, a provenance mechanism for objects in deep learning is proposed. It provides a wDAG-based version graph abstraction and a version inference algorithm that can record and infer the lineages of both inputs and outputs in an effective and intuitive way.
Aug 18, 2020
OMProv: Provenance. Mechanism for Objects in. Deep Learning. Jian Lin, Dongming ... • The provenance mechanism integrated in the OMAI deep learning platform.
OMProv: Provenance Mechanism for Objects in Deep Learning. https://doi.org/10.1007/978-3-030-55814-7_8. Journal: ADBIS, TPDL and EDA 2020 Common Workshops ...
Jian Lin , Dongming Xie : OMProv: Provenance Mechanism for Objects in Deep Learning. ADBIS/TPDL/EDA Workshops 2020: 98-109. manage site settings.
Motivated by the need of a high level of interoperability and data provenance with respect to ML experiments, this work presents a generic solution using a web- ...
OMProv: provenance mechanism for objects in deep learning. J Lin, D Xie. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 98-109, 2020. 2 ...
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This paper proposes OMProv, which is a provenance mechanism for recording the lineage within each kind of object, and the relationship among different kinds of ...
OMProv: provenance mechanism for objects in deep learning. J Lin, D Xie. ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 98-109, 2020. 2 ...
In this paper, we provide a review on deep learning based object detection frameworks. Our review begins with a brief introduction on the history of deep ...
To address these sce- narios, we present a provenance based poison detection mechanism that works even if all data collected for re-training is untrusted. To ...
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