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Found 7 papers, 1 papers with code
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
We demonstrate MaskSearch, a system designed to accelerate queries over databases of image masks generated by machine learning models.
MaskSearch: Querying Image Masks at Scale
Machine learning tasks over image databases often generate masks that annotate image content (e. g., saliency maps, segmentation maps, depth maps) and enable a variety of applications (e. g., determine if a model is learning spurious correlations or if an image was maliciously modified to mislead a model).
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]
We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets.
Query Processing on Tensor Computation Runtimes
Finally, TQP can accelerate queries mixing ML predictions and SQL end-to-end, and deliver up to 9$\times$ speedup over CPU baselines.
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation
We design, implement, and evaluate DeepEverest, a system for the efficient execution of interpretation by example queries over the activation values of a deep neural network.
GSECnet: Ground Segmentation of Point Clouds for Edge Computing
This paper proposes the GSECnet - Ground Segmentation network for Edge Computing, an efficient ground segmentation framework of point clouds specifically designed to be deployable on a low-power edge computing unit.
Measuring Mother-Infant Emotions By Audio Sensing
It has been suggested in developmental psychology literature that the communication of affect between mothers and their infants correlates with the socioemotional and cognitive development of infants.
