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2020 – today
- 2021
[c8]Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Tom Madams, Andrew Jackson, Blaise Agüera y Arcas:
Meta-Learning Bidirectional Update Rules. ICML 2021: 9288-9300- [c7]Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas:
UIBert: Learning Generic Multimodal Representations for UI Understanding. IJCAI 2021: 1705-1712 - [i7]Mark Sandler, Max Vladymyrov, Andrey Zhmoginov, Nolan Miller, Andrew Jackson, Tom Madams, Blaise Agüera y Arcas:
Meta-Learning Bidirectional Update Rules. CoRR abs/2104.04657 (2021) - [i6]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth
, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i5]Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas:
UIBert: Learning Generic Multimodal Representations for UI Understanding. CoRR abs/2107.13731 (2021) - 2020
- [c6]Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas:
Generative Models for Effective ML on Private, Decentralized Datasets. ICLR 2020 - [i4]Mark Sandler, Andrey Zhmoginov, Liangcheng Luo, Alexander Mordvintsev, Ettore Randazzo, Blaise Agüera y Arcas:
Image segmentation via Cellular Automata. CoRR abs/2008.04965 (2020)
2010 – 2019
- 2019
- [i3]Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas:
Generative Models for Effective ML on Private, Decentralized Datasets. CoRR abs/1911.06679 (2019) - 2018
- [c5]Blaise Agüera y Arcas:
Decentralized Machine Learning. IEEE BigData 2018: 1 - 2017
- [c4]Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas:
Communication-Efficient Learning of Deep Networks from Decentralized Data. AISTATS 2017: 1273-1282 - [i2]Blaise Agüera y Arcas, Beat Gfeller, Ruiqi Guo, Kevin Kilgour, Sanjiv Kumar, James Lyon, Julian Odell, Marvin Ritter, Dominik Roblek, Matthew Sharifi, Mihajlo Velimirovic:
Now Playing: Continuous low-power music recognition. CoRR abs/1711.10958 (2017) - 2016
- [i1]H. Brendan McMahan, Eider Moore, Daniel Ramage, Blaise Agüera y Arcas:
Federated Learning of Deep Networks using Model Averaging. CoRR abs/1602.05629 (2016) - 2015
- [c3]Blaise Agüera y Arcas:
Machine Intelligence and Human Intelligence. UIST 2015: 665 - 2012
- [c2]Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael, Blaise Agüera y Arcas:
Transparent user models for personalization. KDD 2012: 678-686
2000 – 2009
- 2007
- [j3]Sungho Hong, Blaise Agüera y Arcas, Adrienne L. Fairhall:
Single Neuron Computation: From Dynamical System to Feature Detector. Neural Comput. 19(12): 3133-3172 (2007) - 2003
- [j2]Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek:
Computation in a Single Neuron: Hodgkin and Huxley Revisited. Neural Comput. 15(8): 1715-1749 (2003) - [j1]Blaise Agüera y Arcas, Adrienne L. Fairhall:
What Causes a Neuron to Spike? Neural Comput. 15(8): 1789-1807 (2003) - 2000
- [c1]Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek:
What Can a Single Neuron Compute? NIPS 2000: 75-81
Coauthor Index
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