Representation Learning for Extrapolation via Bilinear Transduction
Typical machine learning systems, such as deep neural networks, perform well at predicting on new examples that come from the same distribution as initial training data. However, these systems are not typically robust to examples that do not come from the same distribution as the training samples. T...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156798 |