In particular, Neural Architecture Search (NAS) has seen significant attention throughout the AutoML research community, and has pushed forward the state-of-the-art in a number of neural models to address grid-like data such as texts and images.
The multi-label network nodes not only have multiple labels for each node, such labels are often highly correlated making existing methods ineffective or fail to handle such correlation for node representation learning.
Ranked #17 on Multi-Label Classification on MS-COCO
By using spectral-based graph convolution aggregation process, each node is allowed to concentrate more on the most determining neighborhood features aligned with the corresponding learning task.
To help users tap the performance potential of systems, we present BestConfig, a system for automatically finding a best configuration setting within a resource limit for a deployed system under a given application workload.
Performance Databases Distributed, Parallel, and Cluster Computing Software Engineering
To support the variety of Big Data use cases, many Big Data related systems expose a large number of user-specifiable configuration parameters.
Distributed, Parallel, and Cluster Computing