We posit that making an AI agent aware of implicit social feedback from humans can allow for faster learning of more generalizable and useful representations.

Feb 13, 2018 · We posit that making an AI agent aware of implicit social feedback from humans can allow for faster learning of more generalizable and useful representations.

Feb 12, 2018 · We use a Latent Constraints GAN (LC-GAN) to learn from the facial feedback of a small group of viewers, and then show in an independent ...

After training with a small amount of facial feedback, the LC-GAN model consistently produces more realistic drawings. 7. Page 8. Learning via social awareness: ...

"Learning via social awareness: improving sketch representations with facial feedback." International Conference on Learning Representations (ICLR) Workshop, ...

Learning via Social Awareness: Improving sketch representations with facial feedback. In this Project: Overview · People · Publications. Groups. Overview ...

Jaques et al. [10] used facial expression feedback to improve the model's accuracy in 2018. In the same year, Sketch-aae introduced Reinforcement Learning into ...

Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback · We show the outputs of a generative model of sketches to ...

Learning via social awareness: improving sketch representations with facial feedback. · Natasha Jaques · Jesse H. Engel · David Ha · Fred Bertsch · Rosalind W.

We posit that making an AI agent aware of implicit social feedback from humans can allow for faster learning of more generalizable and useful representations, ...