Turning a blind eye: explicit removal of biases and variation from deep neural network embeddings
Neural networks achieve the state-of-the-art in image classification tasks. However, they can encode spurious variations or biases that may be present in the training data. For example, training an age predictor on a dataset that is not balanced for gender can lead to gender biased predicitons (e.g....
| Autores principales: | , , |
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| Formato: | Internet publication |
| Lenguaje: | English |
| Publicado: |
ArXiv
2018
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