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More importantly our work shows that #DeepLearning model is deciding which samples are hard for it to classify and introducing bias. Here I use bias to mean disparate treatment not statistical bias. Model leaves harder example with worse accuracy and more vulnerability to noise
So which #DeepLearning model you choose changes the bias introduced. We show that older models like Alexnet are worse compared to newer models like resnet. So that's a good thing. @BeidiChen @Anshumali_ @animesh_garg @jankautz @NvidiaAI
It's important for our #AI leaders to acknowledge that #DeepLearning makes it harder to deal with bias. Models themselves introduce bias. It's important for our leaders not to be so dismissive of deep work happening in this area. They should listen and learn from others.
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