Biased Datasets tagged posts

Can Machine-Learning Models Overcome Biased Datasets?

Caption:If researchers are training a model to classify cars in images, they want the model to learn what different cars look like. But if every Ford Thunderbird in the training dataset is shown from the front, when the trained model is given an image of a Ford Thunderbird shot from the side, it may misclassify it, even if it was trained on millions of car photos.
Credits:Image courtesy of the researchers

Researchers have applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that the emergence of certain types of neurons during training plays a major role in how well a neural network is able to overcome dataset bias.

Artificial intelligence systems may be able t...

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