Papers by Kawshik Kannan
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks (2022.emnlp-industry)
Copied to clipboard
| Challenge: | Existing methods for fewshot learning require a large number of in-domain labeled examples for fine tuning. |
| Approach: | They propose to extend the Prototypical Networks for few-shot text classification by replacing Gaussian class prototypes with a regularization term that encourages the examples to be clustered near the appropriate class centroids. |
| Outcome: | The proposed method outperforms baselines on 13 public and 4 internal datasets and detects potential out-of-distribution (OOD) data points during deployment. |