| Can language models learn from explanations in context? AK Lampinen, I Dasgupta, SCY Chan, K Matthewson, MH Tessler, ... Findings of EMNLP 2022, 2022 | 227 | 2022 |
| Data Distributional Properties Drive Emergent In-Context Learning in Transformers SCY Chan, A Santoro, AK Lampinen, JX Wang, A Singh, PH Richemond, ... Oral @ Neural Information Processing Systems (NeurIPS) 2022, 2022 | 223 | 2022 |
| Language models show human-like content effects on reasoning I Dasgupta, AK Lampinen, SCY Chan, A Creswell, D Kumaran, ... arXiv preprint arXiv:2207.07051, 2022 | 140 | 2022 |
| Measuring the Reliability of Reinforcement Learning Algorithms SCY Chan, S Fishman, J Canny, A Korattikara, S Guadarrama Spotlight @ International Conference on Learning Representations (ICLR) 2020, 2020 | 96 | 2020 |
| A Probability Distribution over Latent Causes, in the Orbitofrontal Cortex SCY Chan, Y Niv, KA Norman The Journal of Neuroscience 36 (30), 7817-7828, 2016 | 92 | 2016 |
| Semantic exploration from language abstractions and pretrained representations A Tam, N Rabinowitz, A Lampinen, NA Roy, S Chan, DJ Strouse, J Wang, ... Advances in Neural Information Processing Systems 35, 25377-25389, 2022 | 57 | 2022 |
| Towards mental time travel: a hierarchical memory for reinforcement learning agents A Lampinen, S Chan, A Banino, F Hill Advances in Neural Information Processing Systems 34, 28182-28195, 2021 | 47 | 2021 |
| Tell me why! Explanations support learning relational and causal structure AK Lampinen, N Roy, I Dasgupta, SCY Chan, A Tam, J Mcclelland, C Yan, ... International Conference on Machine Learning, 11868-11890, 2022 | 34 | 2022 |
| On the value of information and other rewards Y Niv, S Chan Nature neuroscience 14 (9), 1095, 2011 | 34 | 2011 |
| Lingering representations of stimuli influence recall organization SCY Chan, MC Applegate, NW Morton, SM Polyn, KA Norman Neuropsychologia 97, 72-82, 2017 | 30 | 2017 |
| Transformers generalize differently from information stored in context vs in weights SCY Chan, I Dasgupta, J Kim, D Kumaran, AK Lampinen, F Hill NeurIPS MemARI Workshop 2022, 2022 | 29 | 2022 |
| Genie: Generative interactive environments J Bruce, MD Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ... Best Paper @ ICML 2024 (International Conference on Machine Learning), 2024 | 28 | 2024 |
| Many-Shot In-Context Learning R Agarwal, A Singh, LM Zhang, B Bohnet, S Chan, A Anand, Z Abbas, ... Oral @ ICML Long Context Workshop, 2024 | 17 | 2024 |
| Passive learning of active causal strategies in agents and language models A Lampinen, S Chan, I Dasgupta, A Nam, J Wang Advances in Neural Information Processing Systems 36, 2024 | 17 | 2024 |
| The Transient Nature of Emergent In-Context Learning in Transformers AK Singh, SCY Chan, T Moskovitz, E Grant, AM Saxe, F Hill Neural Information Processing Systems (NeurIPS) 2023, 2023 | 16 | 2023 |
| Zipfian Environments for Reinforcement Learning SCY Chan, AK Lampinen, PH Richemond, F Hill Conference on Lifelong Learning Agents (CoLLAs) 2022, 2022 | 15 | 2022 |
| Scalable parallel gene therapy injector array ES Boyden, S Chan US Patent 8,708,965, 2014 | 13 | 2014 |
| Scalable fluidic injector arrays for viral targeting of intact 3-D brain circuits S Chan, J Bernstein, E Boyden JoVE (Journal of Visualized Experiments), e1489-e1489, 2010 | 12 | 2010 |
| Orbitofrontal cortex and learning predictions of state transitions. SCY Chan, NW Schuck, N Lopatina, G Schoenbaum, Y Niv Behavioral neuroscience 135 (4), 487, 2021 | 9 | 2021 |
| A crowded model of visual search R Rosenholtz, S Chan, B Balas Journal of Vision 9 (8), 1197-1197, 2009 | 6 | 2009 |
Felix HillResearch Scientist, Deepmind在 google.com 的电子邮件经过验证
