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Barret Zoph
Barret Zoph
OpenAI
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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
68522018
Neural architecture search with reinforcement learning
B Zoph, QV Le
arXiv preprint arXiv:1611.01578, 2016
62212016
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
38492017
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
37912019
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
37412023
Randaugment: Practical automated data augmentation with a reduced search space
ED Cubuk, B Zoph, J Shlens, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
32982020
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
31862018
Autoaugment: Learning augmentation strategies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
24462019
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
22972018
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
18602018
Scaling instruction-finetuned language models
HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ...
Journal of Machine Learning Research 25 (70), 1-53, 2024
17792024
Emergent abilities of large language models
J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ...
arXiv preprint arXiv:2206.07682, 2022
16242022
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
14862023
Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
W Fedus, B Zoph, N Shazeer
Journal of Machine Learning Research 23 (120), 1-39, 2022
13982022
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
12562019
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
12462019
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
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
9892021
Transfer learning for low-resource neural machine translation
B Zoph, D Yuret, J May, K Knight
arXiv preprint arXiv:1604.02201, 2016
9292016
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
8482018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
8042022
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