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Barret Zoph
Barret Zoph
Staff Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Learning transferable architectures for scalable image recognition
B Zoph, V Vasudevan, J Shlens, QV Le
Proceedings of the IEEE conference on computer vision and pattern …, 2018
45702018
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
43682016
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
2454*2017
Autoaugment: Learning augmentation strategies from data
ED Cubuk*, B Zoph*, D Mane, V Vasudevan, QV Le
Proceedings of the IEEE conference on computer vision and pattern …, 2019
2262*2019
Efficient neural architecture search via parameters sharing
H Pham, M Guan, B Zoph, Q Le, J Dean
International conference on machine learning, 4095-4104, 2018
21282018
Specaugment: A simple data augmentation method for automatic speech recognition
DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le
arXiv preprint arXiv:1904.08779, 2019
19682019
Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
16252018
Randaugment: Practical automated data augmentation with a reduced search space
ED Cubuk*, B Zoph*, J Shlens, QV Le
arXiv preprint arXiv:1909.13719, 2019
1299*2019
Transfer learning for low-resource neural machine translation
B Zoph, D Yuret, J May, K Knight
arXiv preprint arXiv:1604.02201, 2016
6692016
Attention augmented convolutional networks
I Bello, B Zoph, A Vaswani, J Shlens, QV Le
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
6362019
Understanding and simplifying one-shot architecture search
G Bender, PJ Kindermans, B Zoph, V Vasudevan, Q Le
International conference on machine learning, 550-559, 2018
5562018
Augmix: A simple data processing method to improve robustness and uncertainty
D Hendrycks, N Mu, ED Cubuk, B Zoph, J Gilmer, B Lakshminarayanan
arXiv preprint arXiv:1912.02781, 2019
541*2019
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
W Fedus*, B Zoph*, N Shazeer
arXiv preprint arXiv:2101.03961, 2021
3902021
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, M Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
Advances in neural information processing systems 31, 2018
3542018
Learning data augmentation strategies for object detection
B Zoph*, ED Cubuk*, G Ghiasi, TY Lin, J Shlens, QV Le
arXiv preprint arXiv:1906.11172, 2019
3242019
Rethinking pre-training and self-training
B Zoph*, G Ghiasi*, TY Lin*, Y Cui, H Liu, ED Cubuk, QV Le
arXiv preprint arXiv:2006.06882, 2020
3192020
Neural optimizer search with reinforcement learning
I Bello, B Zoph, V Vasudevan, QV Le
International Conference on Machine Learning, 459-468, 2017
3092017
Multi-source neural translation
B Zoph, K Knight
arXiv preprint arXiv:1601.00710, 2016
3002016
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
G Ghiasi*, Y Cui*, A Srinivas*, R Qian, TY Lin, ED Cubuk, QV Le, B Zoph
arXiv preprint arXiv:2012.07177, 2020
2382020
Revisiting resnets: Improved training and scaling strategies
I Bello, W Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, B Zoph
Advances in Neural Information Processing Systems 34, 22614-22627, 2021
1042021
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