| Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015 | 3234 | 2015 |
| Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017 | 2767 | 2017 |
| One shot learning of simple visual concepts B Lake, R Salakhutdinov, J Gross, J Tenenbaum Proceedings of the annual meeting of the cognitive science society 33 (33), 2011 | 951 | 2011 |
| Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks BM Lake, M Baroni International Conference on Machine Learning (ICML), 2018 | 742* | 2018 |
| One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013 | 303 | 2013 |
| Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019 | 182 | 2019 |
| Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010 | 162 | 2010 |
| The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019 | 139 | 2019 |
| Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018 | 138 | 2018 |
| A Benchmark for Systematic Generalization in Grounded Language Understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake Advances in Neural Information Processing Systems 33, 2020 | 131 | 2020 |
| Human few-shot learning of compositional instructions BM Lake, T Linzen, M Baroni Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019 | 103 | 2019 |
| Learning Compositional Rules via Neural Program Synthesis MI Nye, A Solar-Lezama, JB Tenenbaum, BM Lake Advances in Neural Information Processing Systems 33, 2020 | 99 | 2020 |
| Deep Neural Networks Predict Category Typicality Ratings for Images BM Lake, W Zaremba, R Fergus, TM Gureckis Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015 | 97 | 2015 |
| Word meaning in minds and machines BM Lake, GL Murphy Psychological Review 130, 401-431, 2023 | 93 | 2023 |
| Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020 | 77 | 2020 |
| Improving coherence and consistency in neural sequence models with dual-system, neuro-symbolic reasoning M Nye, M Tessler, J Tenenbaum, BM Lake Advances in Neural Information Processing Systems 34, 25192-25204, 2021 | 70 | 2021 |
| One-shot learning of generative speech concepts BM Lake, C Lee, JR Glass, JB Tenenbaum Proceedings of the 36th Annual Meeting of the Cognitive Science Soceity, 803–808, 2014 | 67 | 2014 |
| Question asking as program generation A Rothe, BM Lake, TM Gureckis Advances in Neural Information Processing Systems 30, 2017 | 53 | 2017 |
| The role of developmental change and linguistic experience in the mutual exclusivity effect M Lewis, V Cristiano, BM Lake, T Kwan, MC Frank Cognition 198, 104191, 2020 | 50 | 2020 |
| People infer recursive visual concepts from just a few examples BM Lake, ST Piantadosi Computational Brain & Behavior 3, 54-65, 2020 | 40 | 2020 |
Joshua B. TenenbaumMITVerified email at mit.edu
