Chan, Stephanie

6 publications

NeurIPS 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

NeurIPS 2023 Passive Learning of Active Causal Strategies in Agents and Language Models Andrew Lampinen, Stephanie Chan, Ishita Dasgupta, Andrew Nam, Jane Wang

NeurIPS 2023 The Transient Nature of Emergent In-Context Learning in Transformers Aaditya Singh, Stephanie Chan, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill

NeurIPS 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James L. McClelland, Felix Hill

NeurIPS 2022 Semantic Exploration from Language Abstractions and Pretrained Representations Allison Tam, Neil Rabinowitz, Andrew Lampinen, Nicholas A. Roy, Stephanie Chan, Dj Strouse, Jane Wang, Andrea Banino, Felix Hill

NeurIPS 2021 Towards Mental Time Travel: A Hierarchical Memory for Reinforcement Learning Agents Andrew Lampinen, Stephanie Chan, Andrea Banino, Felix Hill