Papers with predictive likelihoods
Active Learning by Acquiring Contrastive Examples (2021.emnlp-main)
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| Challenge: | Using uncertainty and diversity sampling, active learning acquisition functions select difficult and diverse data points from a pool of unlabeled data. |
| Approach: | They propose an active learning acquisition function that selects contrastive examples from unlabeled data. |
| Outcome: | The proposed approach performs better or equal to the best performing baseline on all tasks, on both in-domain and out-of-domain data. |