---
title: "Barret Zoph — all works — Elamur Research"
description: "All 43 works of Barret Zoph in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/barret-zoph/works/"
---
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# Barret Zoph — all works

43 works · [← Barret Zoph](https://md.research.elamur.ai/free/en/authors/barret-zoph/)

1. **[Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Barret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.*2017 · 6,583 citations*
2. [**Neural Architecture Search with Reinforcement Learning arXiv:1611.01578**Barret Zoph, Quoc V. Le*2016 · 4,413 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2016-neural-architecture-search-reinforcement-learning/)
3. **[SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/park-2019-specaugment-simple-data-augmentation-method/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Daniel S. Park, William Chan, Yu Zhang, et al.*2019 · 3,837 citations*
4. **[Scaling Instruction-Finetuned Language Models ↗](https://arxiv.org/abs/2210.11416) arXiv:2210.11416 · no summary yet**Hyung Won Chung et al.*2022 · 3,392 citations*
5. **[Randaugment: Practical automated data augmentation with a reduced search space ↗](https://doi.org/10.1109/cvprw50498.2020.00359) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Ekin D. Cubuk et al.*2020 · 3,233 citations*
6. **[AutoAugment: Learning Augmentation Strategies From Data ↗](https://doi.org/10.1109/cvpr.2019.00020) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ekin D. Cubuk et al.*2019 · 2,810 citations*
7. [**Emergent Abilities of Large Language Models arXiv:2206.07682**Jason Wei, Yi Tay, Rishi Bommasani, et al.*2022 · 2,269 citations*](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/)
8. **[Progressive Neural Architecture Search ↗](https://doi.org/10.1007/978-3-030-01246-5_2) Lecture notes in computer science · no summary yet**Chenxi Liu et al.*2018 · 2,023 citations*
9. **[Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity ↗](https://arxiv.org/abs/2101.03961) arXiv:2101.03961 · no summary yet**William Fedus, Barret Zoph, Noam Shazeer*2021 · 1,271 citations*
10. **[Attention Augmented Convolutional Networks ↗](https://doi.org/10.1109/iccv.2019.00338) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Irwan Bello et al.*2019 · 1,246 citations*
11. **[Efficient Neural Architecture Search via Parameters Sharing ↗](https://openalex.org/W2962746461) International Conference on Machine Learning · no summary yet**Hieu Pham et al.*2018 · 1,209 citations*
12. **[Transfer Learning for Low-Resource Neural Machine Translation ↗](https://aclanthology.org/D16-1163/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Barret Zoph et al.*2016 · 1,185 citations*
13. **[Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation ↗](https://doi.org/10.1109/cvpr46437.2021.00294) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Golnaz Ghiasi et al.*2021 · 1,178 citations*
14. **[Searching for Activation Functions ↗](https://arxiv.org/abs/1710.05941) arXiv:1710.05941 · no summary yet**Prajit Ramachandran, Barret Zoph, Quoc V. Le*2017 · 856 citations*
15. **[AutoAugment: Learning Augmentation Policies from Data ↗](https://arxiv.org/abs/1805.09501) arXiv (Cornell University) · no summary yet**Ekin D. Cubuk et al.*2018 · 726 citations*
16. [**Efficient Neural Architecture Search via Parameter Sharing arXiv:1802.03268**Hieu Pham, Melody Y. Guan, Barret Zoph, et al.*2018 · 699 citations*](https://md.research.elamur.ai/free/en/papers/pham-2018-efficient-neural-architecture-search-parameter/)
17. [**The Flan Collection: Designing Data and Methods for Effective Instruction Tuning arXiv:2301.13688**Shayne Longpre, Le Hou, Tu Vu, et al.*2023 · 607 citations*](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/)
18. **[AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty ↗](https://arxiv.org/abs/1912.02781) arXiv (Cornell University) · no summary yet**Dan Hendrycks et al.*2019 · 588 citations*
19. **[Learning Data Augmentation Strategies for Object Detection ↗](https://doi.org/10.1007/978-3-030-58583-9_34) Lecture notes in computer science · no summary yet**Barret Zoph et al.*2020 · 587 citations*
20. **[Understanding and Simplifying One-Shot Architecture Search ↗](https://openalex.org/W2885820039) International Conference on Machine Learning · no summary yet**Gabriel Bender et al.*2018 · 515 citations*
21. [**GLaM: Efficient Scaling of Language Models with Mixture-of-Experts arXiv:2112.06905**Nan Du, Yanping Huang, Andrew M. Dai, et al.*2021 · 496 citations*](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/)
22. **[Multi-Source Neural Translation](https://md.research.elamur.ai/free/en/papers/zoph-2016-multi-source-neural-translation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Barret Zoph, Kevin Knight*2016 · 435 citations*
23. **[Rethinking Pre-training and Self-training ↗](https://arxiv.org/abs/2006.06882) arXiv (Cornell University) · no summary yet**Barret Zoph et al.*2020 · 428 citations*
24. **[Searching for Efficient Multi-Scale Architectures for Dense Image Prediction ↗](https://arxiv.org/abs/1809.04184) arXiv (Cornell University) · no summary yet**Liang-Chieh Chen et al.*2018 · 335 citations*
25. **[Neural Optimizer Search with Reinforcement Learning ↗](https://arxiv.org/abs/1709.07417) arXiv (Cornell University) · no summary yet**Irwan Bello et al.*2017 · 263 citations*
26. **[Revisiting ResNets: Improved Training and Scaling Strategies ↗](https://arxiv.org/abs/2103.07579) arXiv (Cornell University) · no summary yet**Irwan Bello et al.*2021 · 221 citations*
27. **[ST-MoE: Designing Stable and Transferable Sparse Expert Models ↗](https://arxiv.org/abs/2202.08906) arXiv:2202.08906 · no summary yet**Barret Zoph et al.*2022 · 205 citations*
28. **[Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation ↗](https://doi.org/10.1007/978-3-030-58545-7_40) Lecture notes in computer science · no summary yet**Liang-Chieh Chen et al.*2020 · 161 citations*
29. [**A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity arXiv:2305.13169**Shayne Longpre, Gregory Yauney, Emily Reif, et al.*2023 · 104 citations*](https://md.research.elamur.ai/free/en/papers/longpre-2023-pretrainer-s-guide-training-data/)
30. **[Multi-Task Self-Training for Learning General Representations ↗](https://doi.org/10.1109/iccv48922.2021.00873) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Golnaz Ghiasi et al.*2021 · 86 citations*
31. **[A Review of Sparse Expert Models in Deep Learning ↗](https://arxiv.org/abs/2209.01667) arXiv (Cornell University) · no summary yet**W. Fedus, Jeff Dean, Barret Zoph*2022 · 82 citations*
32. [**Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models arXiv:2305.14705**Sheng Shen, Le Hou, Yanqi Zhou, et al.*2023 · 70 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-mixture-experts-meets-instruction-tuning/)
33. **[Improving 3D Object Detection Through Progressive Population Based Augmentation ↗](https://doi.org/10.1007/978-3-030-58589-1_17) Lecture notes in computer science · no summary yet**Shuyang Cheng et al.*2020 · 67 citations*
34. **[Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies ↗](https://aclanthology.org/N16-1145/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Barret Zoph et al.*2016 · 45 citations*
35. **[Simple Training Strategies and Model Scaling for Object Detection ↗](https://arxiv.org/abs/2107.00057) arXiv (Cornell University) · no summary yet**Xianzhi Du et al.*2021 · 29 citations*
36. **[Intriguing Properties of Adversarial Examples ↗](https://arxiv.org/abs/1711.02846) arXiv (Cornell University) · no summary yet**Ekin D. Cubuk et al.*2017 · 28 citations*
37. **[Faster Discovery of Neural Architectures by Searching for Paths in a Large Model ↗](https://openalex.org/W2787387029) International Conference on Learning Representations · no summary yet**Hieu Pham et al.*2018 · 15 citations*
38. **[How Much Information Does a Human Translator Add to the Original? ↗](https://aclanthology.org/D15-1105/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Barret Zoph, Marjan Ghazvininejad, Kevin Knight*2015 · 9 citations*
39. **[Backprop Evolution ↗](https://arxiv.org/abs/1808.02822) arXiv (Cornell University) · no summary yet**Maximilian Alber et al.*2018 · 7 citations*
40. **[Does Data Augmentation Benefit from Split BatchNorms ↗](https://arxiv.org/abs/2010.07810) arXiv (Cornell University) · no summary yet**Amil Merchant, Barret Zoph, Ekin D. Cubuk*2020 · 4 citations*
41. **[EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS ↗](https://openalex.org/W2786248779) no summary yet**Minh-Thang Luong et al.*2018 · 3 citations*
42. **[Revisiting ResNets: Improved Training Methodologies and Scaling Principles ↗](https://openalex.org/W3207178708) no summary yet**Irwan Bello et al.*2021 · 1 citation*
43. **[スケーラブル画像認識のための移動可能アーキテクチャの学習【JST・京大機械翻訳】 ↗](https://openalex.org/W3187880615) IEEE Conference Proceedings · no summary yet**Barret Zoph et al.*2018*