| Federated optimization in heterogeneous networks T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith Proceedings of Machine learning and systems 2, 429-450, 2020 | 3341 | 2020 |
| Deep Sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, R Salakhutdinov, ... Advances in Neural Information Processing Systems, 3391-3401, 2017 | 2366 | 2017 |
| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in neural information processing systems 33, 17283-17297, 2020 | 1498 | 2020 |
| Adaptive federated optimization S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečný, S Kumar, ... arXiv preprint arXiv:2003.00295, 2020 | 984 | 2020 |
| Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning R Das, S Dhuliawala, M Zaheer, L Vilnis, I Durugkar, A Krishnamurthy, ... ICLR, 2017 | 513 | 2017 |
| Gaussian LDA for topic models with word embeddings R Das, M Zaheer, C Dyer Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 435 | 2015 |
| Open domain question answering using early fusion of knowledge bases and text H Sun, B Dhingra, M Zaheer, K Mazaitis, R Salakhutdinov, WW Cohen arXiv preprint arXiv:1809.00782, 2018 | 404 | 2018 |
| Adaptive methods for nonconvex optimization M Zaheer, S Reddi, D Sachan, S Kale, S Kumar Advances in neural information processing systems 31, 2018 | 376 | 2018 |
| Compressed video action recognition CY Wu, M Zaheer, H Hu, R Manmatha, AJ Smola, P Krähenbühl Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 354 | 2018 |
| Point cloud gan CL Li, M Zaheer, Y Zhang, B Poczos, R Salakhutdinov arXiv preprint arXiv:1810.05795, 2018 | 209 | 2018 |
| Multi-step retriever-reader interaction for scalable open-domain question answering R Das, S Dhuliawala, M Zaheer, A McCallum arXiv preprint arXiv:1905.05733, 2019 | 192 | 2019 |
| Question answering on knowledge bases and text using universal schema and memory networks R Das, M Zaheer, S Reddy, A McCallum Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 159 | 2017 |
| A field guide to federated optimization J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ... arXiv preprint arXiv:2107.06917, 2021 | 154 | 2021 |
| Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function DS Sachan, M Zaheer, R Salakhutdinov AAAI, 2019 | 131 | 2019 |
| Feddane: A federated newton-type method T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smithy 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1227-1231, 2019 | 125 | 2019 |
| Transformation Autoregressive Networks JB Oliva, A Dubey, M Zaheer, B Póczos, R Salakhutdinov, J Schneider, ... ICML, 2018 | 88 | 2018 |
| Differentiable reasoning over a virtual knowledge base B Dhingra, M Zaheer, V Balachandran, G Neubig, R Salakhutdinov, ... arXiv preprint arXiv:2002.10640, 2020 | 85 | 2020 |
| Randomized exploration in generalized linear bandits B Kveton, M Zaheer, C Szepesvari, L Li, M Ghavamzadeh, C Boutilier International Conference on Artificial Intelligence and Statistics, 2066-2076, 2020 | 80 | 2020 |
| Gradient-based hierarchical clustering using continuous representations of trees in hyperbolic space N Monath, M Zaheer, D Silva, A McCallum, A Ahmed Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 76 | 2019 |
| A generic approach for escaping saddle points SJ Reddi, M Zaheer, S Sra, B Poczos, F Bach, R Salakhutdinov, AJ Smola AISTATS, 2017 | 71 | 2017 |
Amr AhmedSenior Staff Research Scientist, Google AI在 google.com 的电子邮件经过验证
