| Learning fair representations R Zemel, Y Wu, K Swersky, T Pitassi, C Dwork International Conference on Machine Learning, 325-333, 2013 | 824 | 2013 |
| Starspace: Embed all the things! LY Wu, A Fisch, S Chopra, K Adams, A Bordes, J Weston Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 188 | 2018 |
| PyTorch-BigGraph: A Large-scale Graph Embedding System A Lerer, L Wu, J Shen, T Lacroix, L Wehrstedt, A Bose, A Peysakhovich arXiv preprint arXiv:1903.12287, 2019 | 108 | 2019 |
| Dense Passage Retrieval for Open-Domain Question Answering V Karpukhin, B Oğuz, S Min, L Wu, S Edunov, D Chen, W Yih arXiv preprint arXiv:2004.04906, 2020 | 33 | 2020 |
| Scalable Zero-shot Entity Linking with Dense Entity Retrieval L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer arXiv preprint arXiv:1911.03814, 2019 | 30 | 2019 |
| Inapproximability of treewidth and related problems Y Wu, P Austrin, T Pitassi, D Liu Journal of Artificial Intelligence Research 49, 569-600, 2014 | 26 | 2014 |
| Inapproximability of treewidth, one-shot pebbling, and related layout problems P Austrin, T Pitassi, Y Wu Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2012 | 22 | 2012 |
| Multi-Dimensional Gender Bias Classification E Dinan, A Fan, L Wu, J Weston, D Kiela, A Williams arXiv preprint arXiv:2005.00614, 2020 | 11 | 2020 |
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
