Papers with Bioinformatics and Computer Vision
Research on Task Discovery for Transfer Learning in Deep Neural Networks (2020.acl-srw)
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| Challenge: | Existing deep neural network based machine learning models suffer from overfitting and are sensitive to noise and examples that are not available in training data. |
| Approach: | They propose to use a novel multi-task learner to implement deep neural network based transfer learning models that can be used to improve generalization. |
| Outcome: | The proposed model performs better on two NLP tasks and is more efficient on other areas of machine learning, including Bioinformatics and Computer Vision. |