A major challenge in representation learning for NLP is to produce models that are robust to dataset biases.
In a recent work published by a team of Hugging Face and Cornell University researchers, the authors have explored the notion of how models with limited capacity primarily learn to exploit biases in the dataset
Read more: https://analyticsindiamag.com/can-ml-models-eliminate-bias-from-datasets-on-their-own/

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