Papers by Maxime Arens
Rebalancing Label Distribution While Eliminating Inherent Waiting Time in Multi Label Active Learning Applied to Transformers (2024.lrec-main)
Copied to clipboard
| Challenge: | Data annotation is a resourceintensive endeavor, necessitating human involvement and expertise. |
| Approach: | They propose to annotate instances to rebalance label distribution by judiciously selecting and limiting the data to be annotated. |
| Outcome: | The proposed method mitigates biases, improves model performance and reduces strategy-dependent disparities. |