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Human Preference Score: Better Aligning Text-to-image Models with Human Preference
IEEE International Conference on Computer Vision, 2023Recent years have witnessed a rapid growth of deep generative models, with text-to-image models gaining significant attention from the public. However, existing models often generate images that do not align well with human preferences, such as awkward ...
Xiaoshi Wu +4 more
semanticscholar +1 more source
Journal of Clinical Psychology, 2010
AbstractClient preferences are recognized as a key component to evidence‐based practice; however, research has yet to confirm the actual influence preferences have on treatment outcome. In this meta‐analysis, we summarize results from 35 studies that have examined the preference effect with adult clients.
Joshua K, Swift +2 more
openaire +2 more sources
AbstractClient preferences are recognized as a key component to evidence‐based practice; however, research has yet to confirm the actual influence preferences have on treatment outcome. In this meta‐analysis, we summarize results from 35 studies that have examined the preference effect with adult clients.
Joshua K, Swift +2 more
openaire +2 more sources
Experimental Economics, 2020
AbstractIs the assumption that people automatically know their own preferences innocuous? We present an experiment studying the limits of preference discovery. If tastes must be learned through experience, preferences for some goods may never be learned because it is costly to try new things, and thus non-learned preferences may cause welfare loss.
Jason Delaney +2 more
openaire +1 more source
AbstractIs the assumption that people automatically know their own preferences innocuous? We present an experiment studying the limits of preference discovery. If tastes must be learned through experience, preferences for some goods may never be learned because it is costly to try new things, and thus non-learned preferences may cause welfare loss.
Jason Delaney +2 more
openaire +1 more source

