Hannah Sheahan

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 6

Top Topics

Human Human Interaction

Gaussian Markov Random Field

Top Venues

Publications

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
Fine-tuning language models to find agreement among humans with diverse preferences. NeurIPS (2022)
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
Role of Human-AI Interaction in Selective Prediction. AAAI (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Jessica A. F. Thompson, Hannah Sheahan, Christopher Summerfield
Learning to count visual objects by combining “what” and “where” in recurrent memory. Gaze Meets ML (2022)
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
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
Role of Human-AI Interaction in Selective Prediction. CoRR (2021)