Papers by Murray Becker
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports (2022.naacl-industry)
Copied to clipboard
Arijit Sehanobish, McCullen Sandora, Nabila Abraham, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu
| Challenge: | Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP but training or fine-tuning these models for individual tasks can be time consuming and resource intensive. |
| Approach: | They propose to use pretrained Transformer based models finetuned on domain specific corpora to train models for individual tasks. |
| Outcome: | The proposed model can match the performance of a task specific model when the task specific models show similar representations across all of their hidden layers and their gradients are aligned, i.e. their gradient follows the same direction. |