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Found 3 papers, 1 papers with code
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?
We examine bias amplification when models belonging to these two architectures are used as a part of large multimodal models, evaluating the different image encoders of Contrastive Language Image Pretraining which is an important model used in many generative models such as DALL-E and Stable Diffusion.
Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models
In this paper, we propose Multimodal Composite Association Score (MCAS) as a new method of measuring gender bias in multimodal generative models.
Understanding EEG signals for subject-wise Definition of Armoni Activities
The learning is performed in a closed-loop by using feedback in the form of change in affective state.
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