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Found 3 papers, 1 papers with code
Enhancing Instance-Level Image Classification with Set-Level Labels
Our experimental results demonstrate the effectiveness of our approach, showcasing improved classification performance compared to traditional single-instance label-based methods.
Principles and Guidelines for Sharing Biomedical Data for Secondary Use: The University of Chicago Perspective
Academic medical centers are generating an increasing amount of biomedical data and there is an increasing demand for biomedical data for research purposes by research projects, research consortia, companies, and other third parties.
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
To scale up the computation of queries to large batches, we further propose an efficient batch-mode acquisition procedure, which aims to maximize a novel information measure defined through the acquisition function.
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