Hannah Sheahan

According to our database, Hannah Sheahan authored at least 4 papers in 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Fine-tuning language models to find agreement among humans with diverse preferences.

Michiel A. Bakker, Martin J. Chadwick, Hannah Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, Christopher Summerfield

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

General-purpose, long-context autoregressive modeling with Perceiver AR.

Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel

Proceedings of the International Conference on Machine Learning, 2022

Learning to count visual objects by combining “what” and “where” in recurrent memory.

Jessica A. F. Thompson, Hannah Sheahan, Christopher Summerfield

Proceedings of The 1st Gaze Meets ML workshop, 2022

Role of Human-AI Interaction in Selective Prediction.

Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022