| Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems 32, 2019 | 32839 | 2019 |
| Automatic differentiation in pytorch A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 12224 | 2017 |
| Open data kit: tools to build information services for developing regions C Hartung, A Lerer, Y Anokwa, C Tseng, W Brunette, G Borriello Proceedings of the 4th ACM/IEEE international conference on information and …, 2010 | 675 | 2010 |
| Tabulator: Exploring and analyzing linked data on the semantic web T Berners-Lee, Y Chen, L Chilton, D Connolly, R Dhanaraj, J Hollenbach, ... Proceedings of the 3rd international semantic web user interaction workshop …, 2006 | 663 | 2006 |
| Anton 2: raising the bar for performance and programmability in a special-purpose molecular dynamics supercomputer DE Shaw, JP Grossman, JA Bank, B Batson, JA Butts, JC Chao, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 639 | 2014 |
| Automatic differentiation in PyTorch.(2017) A Paszke, S Gross, S Chintala, G Chanan, E Yang, Z DeVito, Z Lin, ... | 606 | 2017 |
| PyTorch-BigGraph: A Large-scale Graph Embedding System A Lerer, L Wu, J Shen, T Lacroix, L Wehrstedt, A Bose, A Peysakhovich Proceedings of the Conference on Systems and Machine Learning, 2019 | 361 | 2019 |
| Learning physical intuition of block towers by example A Lerer, S Gross, R Fergus ICML'16 Proceedings of the 33rd International Conference on International …, 2016 | 316 | 2016 |
| A multipath network for object detection S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollár BMVC, 2016, 2016 | 276 | 2016 |
| Deep Counterfactual Regret Minimization N Brown, A Lerer, S Gross, T Sandholm International Conference on Machine Learning (ICML), 2018, 2018 | 203 | 2018 |
| Open source data collection in the developing world Y Anokwa, C Hartung, W Brunette, G Borriello, A Lerer Computer 42 (10), 97-99, 2009 | 182 | 2009 |
| Maintaining cooperation in complex social dilemmas using deep reinforcement learning A Lerer, A Peysakhovich arXiv preprint arXiv:1707.01068, 2017 | 133 | 2017 |
| “other-play” for zero-shot coordination H Hu, A Lerer, A Peysakhovich, J Foerster International Conference on Machine Learning, 4399-4410, 2020 | 113 | 2020 |
| Learning inverse folding from millions of predicted structures C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives International Conference on Machine Learning, 8946-8970, 2022 | 109 | 2022 |
| Combining deep reinforcement learning and search for imperfect-information games N Brown, A Bakhtin, A Lerer, Q Gong Advances in Neural Information Processing Systems 33, 2020 | 104 | 2020 |
| Pytorch: An imperative style, high-performance deep learning library, 2019 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... arXiv preprint arXiv:1912.01703, 1912 | 100 | 1912 |
| Prosocial learning agents solve generalized stag hunts better than selfish ones A Peysakhovich, A Lerer arXiv preprint arXiv:1709.02865, 2017 | 99 | 2017 |
| PyTorch: An Imperative Style A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... High-performance deep learning library 12, 1912 | 82 | 1912 |
| Intphys: A framework and benchmark for visual intuitive physics reasoning R Riochet, MY Castro, M Bernard, A Lerer, R Fergus, V Izard, E Dupoux arXiv preprint arXiv:1803.07616, 2018 | 73* | 2018 |
| Composable planning with attributes A Zhang, A Lerer, S Sukhbaatar, R Fergus, A Szlam International Conference on Learning Representations, 2018, 2018 | 70 | 2018 |
