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Found 4 papers, 0 papers with code
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal
Recent advances in text classification and knowledge capture in language models have relied on availability of large-scale text datasets.
ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature Extraction using Annotation Team of Experts
We evaluate ATEAM and KID for vehicle recognition problems and show that our integrated dataset can help off-the-shelf models achieve excellent accuracy on VMMR and vehicle re-id with no changes to model architectures.
EdnaML: A Declarative API and Framework for Reproducible Deep Learning
We present several examples of ML pipelines with EdnaML, including a large-scale fake news labeling and classification system with six sub-pipelines managed by EdnaML.
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning
CoLabel performs VMMR with a composite of interpretable features such as vehicle color, type, and make, all based on interpretable annotations of the ground truth labels.
