| An image is worth 16x16 words: Transformers for image recognition at scale A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ... arXiv preprint arXiv:2010.11929, 2020 | 34083 | 2020 |
| Vivit: A video vision transformer A Arnab*, M Dehghani*, G Heigold, C Sun, M Lučić, C Schmid arXiv preprint arXiv:2103.15691, 2021 | 1790 | 2021 |
| 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 | 1513 | 2024 |
| Efficient Transformers survey DM Yi Tay, Mostafa Dehghani, Dara Bahri ACM Computing Survey 55 (6), 1–28, 2022 | 1057* | 2022 |
| Universal Transformers M Dehghani, S Gouws, O Vinyals, J Uszkoreit, Ł Kaiser International Conference on Learning Representations (ICLR), 2019 | 887 | 2019 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 753 | 2023 |
| Long Range Arena: A Benchmark for Efficient Transformers Y Tay*, M Dehghani*, S Abnar, Y Shen, D Bahri, P Pham, J Rao, L Yang, ... arXiv preprint arXiv:2011.04006, 2020 | 496 | 2020 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 407 | 2023 |
| Neural Ranking Models with Weak Supervision M Dehghani, H Zamani, A Severyn, J Kamps, WB Croft The 40th International ACM SIGIR Conference on Research and Development in …, 2017 | 402 | 2017 |
| Metnet: A neural weather model for precipitation forecasting CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ... arXiv preprint arXiv:2003.12140, 2020 | 288 | 2020 |
| Ul2: Unifying language learning paradigms Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei, X Wang, HW Chung, ... arXiv preprint arXiv:2205.05131, 2022 | 267 | 2022 |
| Simple open-vocabulary object detection M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ... European Conference on Computer Vision, 728-755, 2022 | 264 | 2022 |
| Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023 | 251 | 2023 |
| Parameter-efficient multi-task fine-tuning for transformers via shared hypernetworks RK Mahabadi, S Ruder, M Dehghani, J Henderson arXiv preprint arXiv:2106.04489, 2021 | 211 | 2021 |
| From neural re-ranking to neural ranking: Learning a sparse representation for inverted indexing H Zamani, M Dehghani, WB Croft, E Learned-Miller, J Kamps Proceedings of the 27th ACM international conference on information and …, 2018 | 171 | 2018 |
| Transformer memory as a differentiable search index Y Tay, V Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... Advances in Neural Information Processing Systems 35, 21831-21843, 2022 | 146 | 2022 |
| Tokenlearner: Adaptive space-time tokenization for videos M Ryoo, AJ Piergiovanni, A Arnab, M Dehghani, A Angelova Advances in neural information processing systems 34, 12786-12797, 2021 | 124 | 2021 |
| Learning to Attend, Copy, and Generate for Session-Based Query Suggestion M Dehghani, S Rothe, E Alfonseca, P Fleury International Conference on Information and Knowledge Management (CIKM'17), 2017 | 120 | 2017 |
| Scale efficiently: Insights from pre-training and fine-tuning transformers Y Tay, M Dehghani, J Rao, W Fedus, S Abnar, HW Chung, S Narang, ... arXiv preprint arXiv:2109.10686, 2021 | 104 | 2021 |
| Exploring the limits of large scale pre-training S Abnar, M Dehghani, B Neyshabur, H Sedghi arXiv preprint arXiv:2110.02095, 2021 | 102 | 2021 |
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