How robust is unsupervised representation learning to distribution shift?
The robustness of machine learning algorithms to distributions shift is primarily discussed in the context of supervised learning (SL). As such, there is a lack of insight on the robustness of the representations learned from unsupervised methods, such as self-supervised learning (SSL) and auto-enco...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
International Conference on Learning Representations
2023
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