Learning with opponent-learning awareness JN Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 597 | 2018 |
Continuous adaptation via meta-learning in nonstationary and competitive environments M Al-Shedivat, T Bansal, Y Burda, I Sutskever, I Mordatch, P Abbeel Proceedings of 6th International Conference on Learning Representations, 2018 | 402 | 2018 |
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 | 342 | 2021 |
Stochastic synapses enable efficient brain-inspired learning machines EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs Frontiers in neuroscience 10, 2016 | 151 | 2016 |
Memristors empower spiking neurons with stochasticity M Al-Shedivat, R Naous, G Cauwenberghs, KN Salama IEEE journal on Emerging and selected topics in circuits and systems 5 (2 …, 2015 | 140 | 2015 |
Learning scalable deep kernels with recurrent structure M Al-Shedivat, AG Wilson, Y Saatchi, Z Hu, EP Xing Journal of Machine Learning Research 18 (82), 1-37, 2017 | 128 | 2017 |
Learning Policy Representations in Multiagent Systems A Grover, M Al-Shedivat, JK Gupta, Y Burda, H Edwards Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 114 | 2018 |
Stochasticity modeling in memristors R Naous, M Al-Shedivat, KN Salama IEEE Transactions on Nanotechnology 15 (1), 15-28, 2015 | 114 | 2015 |
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms M Al-Shedivat, J Gillenwater, E Xing, A Rostamizadeh Proceedings of the 9th International Conference on Learning Representations, 2021 | 99 | 2021 |
Contextual Explanation Networks M Al-Shedivat, A Dubey, EP Xing Journal of Machine Learning Research 21 (194), 1−44, 2020 | 98 | 2020 |
DiCE: The Infinitely Differentiable Monte-Carlo Estimator J Foerster, G Farquhar, M Al-Shedivat, T Rocktäschel, EP Xing, ... Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 95 | 2018 |
Progressive Generation of Long Text with Pretrained Language Models B Tan, Z Yang, M Al-Shedivat, E Xing, Z Hu Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 88* | 2021 |
Regularizing black-box models for improved interpretability G Plumb, M Al-Shedivat, ÁA Cabrera, A Perer, E Xing, A Talwalkar Advances in Neural Information Processing Systems 33, 10526-10536, 2020 | 86* | 2020 |
Consistency by agreement in zero-shot neural machine translation M Al-Shedivat, AP Parikh Conference of the North American Chapter of the Association for …, 2019 | 60 | 2019 |
Memristor-based neural networks: Synaptic versus neuronal stochasticity R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama Aip Advances 6 (11), 2016 | 38 | 2016 |
Inherently stochastic spiking neurons for probabilistic neural computation M Al-Shedivat, R Naous, E Neftci, G Cauwenberghs, KN Salama 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 356-359, 2015 | 32* | 2015 |
Supervised transfer sparse coding M Al-Shedivat, JJY Wang, M Alzahrani, J Huang, X Gao Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 31 | 2014 |
On Data Efficiency of Meta-learning M Al-Shedivat, L Li, E Xing, A Talwalkar Proceedings of the 24th International Conference on Artificial Intelligence …, 2021 | 26 | 2021 |
ADIOS: Architectures Deep In Output Space M Cissé, M Al-Shedivat, S Bengio Proceedings of The 33rd International Conference on Machine Learning, 2770-2779, 2016 | 26 | 2016 |
Maruan Al-Shedivat, Jayesh Gupta, Yuri Burda, and Harrison Edwards. Learning policy representations in multiagent systems A Grover International conference on machine learning, 1802-1811, 0 | 20 | |