This repo contains the artifacts produced from the experiments reported in the paper "Computationally Efficient Active Learning for Large Imbalanced Datasets" (Lesci and Vlachos, 2024).
Each subfolder contains a README.md file describing its contents. In summary:
main/
contains the main results for all datasets considered created usingbert-base-uncased
other_models/
contains the results for two datasets using five additional modelsablations/
contains the outputs of the ablations for the proposed AnchorAL method