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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 using bert-base-uncased

  • other_models/ contains the results for two datasets using five additional models

  • ablations/ contains the outputs of the ablations for the proposed AnchorAL method