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IFBiD: Inference-Free Bias Detection. (arXiv:2109.04374v3 [cs.CV] UPDATED)
Jan. 13, 2022, 2:10 a.m. | Ignacio Serna, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
cs.CV updates on arXiv.org arxiv.org
This paper is the first to explore an automatic way to detect bias in deep
convolutional neural networks by simply looking at their weights. Furthermore,
it is also a step towards understanding neural networks and how they work. We
show that it is indeed possible to know if a model is biased or not simply by
looking at its weights, without the model inference for an specific input. We
analyze how bias is encoded in the weights of deep networks …
More from arxiv.org / cs.CV updates on arXiv.org
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