Self-labelling via simultaneous clustering and representation learning
Combining clustering and representation learning is one of the most promising approaches for unsupervised learning of deep neural networks. However, doing so naively leads to ill posed learning problems with degenerate solutions. In this paper, we propose a novel and principled learning formulation...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Open Review
2020
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