Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
2022 IEEE International Conference on Networking, Architecture and Storage (NAS) , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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Orbax supplies a modular JAX-native checkpointing library that claims up to 3.5× faster saves and 2× faster loads than comparable PyTorch solutions.
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Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets
Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.