Barret Zoph
Barret Zoph
Senior Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
20222016
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
19882018
Efficient neural architecture search via parameter sharing
H Pham, MY Guan, B Zoph, QV Le, J Dean
arXiv preprint arXiv:1802.03268, 2018
9222018
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
769*2017
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
7622018
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
689*2019
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
4412019
Transfer learning for low-resource neural machine translation
B Zoph, D Yuret, J May, K Knight
arXiv preprint arXiv:1604.02201, 2016
3592016
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
2252018
Multi-source neural translation
B Zoph, K Knight
arXiv preprint arXiv:1601.00710, 2016
2092016
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, 8699-8710, 2018
1842018
Neural optimizer search with reinforcement learning
I Bello, B Zoph, V Vasudevan, QV Le
arXiv preprint arXiv:1709.07417, 2017
1462017
Randaugment: Practical automated data augmentation with a reduced search space
ED Cubuk*, B Zoph*, J Shlens, QV Le
arXiv preprint arXiv:1909.13719, 2019
124*2019
Attention augmented convolutional networks
I Bello, B Zoph, A Vaswani, J Shlens, QV Le
Proceedings of the IEEE International Conference on Computer Vision, 3286-3295, 2019
892019
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
632019
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
592019
Intriguing properties of adversarial examples
ED Cubuk, B Zoph, SS Schoenholz, QV Le
arXiv preprint arXiv:1711.02846, 2017
382017
Simple, fast noise-contrastive estimation for large rnn vocabularies
B Zoph, A Vaswani, J May, K Knight
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
382016
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
102020
Improving 3D Object Detection through Progressive Population Based Augmentation
S Cheng, Z Leng, ED Cubuk, B Zoph, C Bai, J Ngiam, Y Song, B Caine, ...
arXiv preprint arXiv:2004.00831, 2020
72020
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