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Found 3 papers, 1 papers with code
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
However, machine and deep learning algorithms, popular in the AI community today, depend heavily on the data used during their development.
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
With experiments on a wide range of pre-trained models and pre-training datasets, we show that the capacity of the pre-training model and the size of the pre-training dataset matters.
PETA: Photo Albums Event Recognition using Transformers Attention
We address this gap with a tailor-made solution, combining the power of CNNs for image representation and transformers for album representation to perform global reasoning on image collection, offering a practical and efficient solution for photo albums event recognition.
