Interactive Machine Learning for Generative Models

Tools

Shimizu, Junichi and Olowe, Ireti and Broad, Terence and Vigliensoni, Gabriel and Thattai Ravikumar, Prashanth and Fiebrink, Rebecca (2023) Interactive Machine Learning for Generative Models. In: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, 16 December 2023, New Orleans.

Type of Research:	Conference, Symposium or Workshop Item
Creators:	Shimizu, Junichi and Olowe, Ireti and Broad, Terence and Vigliensoni, Gabriel and Thattai Ravikumar, Prashanth and Fiebrink, Rebecca
Description:	Effective control of generative media models remains a challenge for specialised generation tasks, including where no suitable dataset to train a contrastive language model exists. We describe a new approach that enables users to interactively create bespoke text-to-media mappings for arbitrary media generation models, using a small number of examples. This approach - very distinct from contrastive language pretraining approaches - facilitates new strategies for using language to drive media creation in creative contexts not well served by existing methods.
Official Website:	https://neuripscreativityworkshop.github.io/2023/
Your affiliations with UAL:	Research Centres/Networks > Institute for Creative Computing
Date:	16 December 2023
Event Location:	New Orleans
Date Deposited:	12 Dec 2023 09:35
Last Modified:	12 Dec 2023 09:35
Item ID:	20927
URI:	https://ualresearchonline.arts.ac.uk/id/eprint/20927

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