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Found 6 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.
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.
Sampling for Deep Learning Model Diagnosis (Technical Report)
In this paper, we articulate DL diagnosis as a data management problem, and we propose a general, yet representative, set of queries to evaluate systems that strive to support this new workload.
Learning State Representations for Query Optimization with Deep Reinforcement Learning
In the database field, query optimization remains a difficult problem.
