Multitask Extension of Geometrically Aligned Transfer Encoder
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929334754738176 |
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| author | Ko, Sung Moon Lee, Sumin Jeong, Dae-Woong Kim, Hyunseung Lee, Chanhui Yim, Soorin Han, Sehui |
| author_facet | Ko, Sung Moon Lee, Sumin Jeong, Dae-Woong Kim, Hyunseung Lee, Chanhui Yim, Soorin Han, Sehui |
| contents | Molecular datasets often suffer from a lack of data. It is well-known that gathering data is difficult due to the complexity of experimentation or simulation involved. Here, we leverage mutual information across different tasks in molecular data to address this issue. We extend an algorithm that utilizes the geometric characteristics of the encoding space, known as the Geometrically Aligned Transfer Encoder (GATE), to a multi-task setup. Thus, we connect multiple molecular tasks by aligning the curved coordinates onto locally flat coordinates, ensuring the flow of information from source tasks to support performance on target data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_01974 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multitask Extension of Geometrically Aligned Transfer Encoder Ko, Sung Moon Lee, Sumin Jeong, Dae-Woong Kim, Hyunseung Lee, Chanhui Yim, Soorin Han, Sehui Machine Learning Artificial Intelligence Quantitative Methods Molecular datasets often suffer from a lack of data. It is well-known that gathering data is difficult due to the complexity of experimentation or simulation involved. Here, we leverage mutual information across different tasks in molecular data to address this issue. We extend an algorithm that utilizes the geometric characteristics of the encoding space, known as the Geometrically Aligned Transfer Encoder (GATE), to a multi-task setup. Thus, we connect multiple molecular tasks by aligning the curved coordinates onto locally flat coordinates, ensuring the flow of information from source tasks to support performance on target data. |
| title | Multitask Extension of Geometrically Aligned Transfer Encoder |
| topic | Machine Learning Artificial Intelligence Quantitative Methods |
| url | https://arxiv.org/abs/2405.01974 |