Botvinick, Matt

8 publications

NeurIPS 2023 Cognitive Model Discovery via Disentangled RNNs Kevin Miller, Maria Eckstein, Matt Botvinick, Zeb Kurth-Nelson

NeurIPS 2023 Meta-in-Context Learning in Large Language Models Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt Botvinick, Jane Wang, Eric Schulz

NeurIPS 2022 Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield

NeurIPS 2021 Attention over Learned Object Embeddings Enables Complex Visual Reasoning David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt Botvinick

NeurIPS 2021 Collaborating with Humans Without Human Data Dj Strouse, Kevin McKee, Matt Botvinick, Edward Hughes, Richard Everett

NeurIPS 2021 SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt Botvinick, Alexander Lerchner, Chris Burgess

NeurIPS 2018 Learning to Share and Hide Intentions Using Information Regularization Dj Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matt Botvinick, David J Schwab

ICML 2017 Learning to Learn Without Gradient Descent by Gradient Descent Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando Freitas