| The Llama 3 Herd of Models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... (Core Contributor), 2024 | 3353* | 2024 |
| Dive into Deep Learning A Zhang, ZC Lipton, M Li, AJ Smola Cambridge University Press, 2023 | 1716 | 2023 |
| Automatic Chain of Thought Prompting in Large Language Models Z Zhang, A Zhang, M Li, A Smola ICLR, 2023 | 916 | 2023 |
| Deepsense: A unified deep learning framework for time-series mobile sensing data processing S Yao, S Hu, Y Zhao, A Zhang, T Abdelzaher WWW, 351-360, 2017 | 785 | 2017 |
| Is ChatGPT a General-Purpose Natural Language Processing Task Solver? C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga, D Yang EMNLP, 2023 | 760 | 2023 |
| Multimodal Chain-of-Thought Reasoning in Language Models Z Zhang, A Zhang, M Li, H Zhao, G Karypis, A Smola TMLR, 2023 | 461 | 2023 |
| Introducing meta llama 3: The most capable openly available llm to date AI Meta Meta AI 2 (5), 6, 2024 | 272 | 2024 |
| DeepIoT: Compressing deep neural network structures for sensing systems with a compressor-critic framework S Yao, Y Zhao, A Zhang, L Su, T Abdelzaher ACM Sensys (Best Paper Award Nomination), 1-14, 2017 | 263 | 2017 |
| GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... Journal of Machine Learning Research 21 (23), 1-7, 2020 | 255 | 2020 |
| AIM: Adapting Image Models for Efficient Video Understanding T Yang, Y Zhu, Y Xie, A Zhang, C Chen, M Li ICLR, 2023 | 230* | 2023 |
| A unified lottery ticket hypothesis for graph neural networks T Chen, Y Sui, X Chen, A Zhang, Z Wang ICML, 1695-1706, 2021 | 211 | 2021 |
| Dive into deep learning. 2020 A Zhang, ZC Lipton, M Li, AJ Smola arXiv preprint arXiv:2106.11342, 2020 | 165 | 2020 |
| Deep learning for the internet of things S Yao, Y Zhao, A Zhang, S Hu, H Shao, C Zhang, L Su, T Abdelzaher IEEE Computer 51 (5), 32-41, 2018 | 165 | 2018 |
| The llama 3 herd of models, 2024 A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... URL https://arxiv. org/abs/2407.21783 2407, 21783, 0 | 137 | |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 135 | 2024 |
| ControlVAE: Controllable Variational Autoencoder H Shao, S Yao, D Sun, A Zhang, S Liu, D Liu, J Wang, T Abdelzaher ICML, 2020 | 130 | 2020 |
| Simple and effective curriculum pointer-generator networks for reading comprehension over long narratives Y Tay, S Wang, LA Tuan, J Fu, MC Phan, X Yuan, J Rao, SC Hui, A Zhang ACL, 2019 | 124 | 2019 |
| Free for all! assessing user data exposure to advertising libraries on android. S Demetriou, W Merrill, W Yang, A Zhang, CA Gunter NDSS, 2016 | 118 | 2016 |
| G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators Y Long, B Wang, Z Yang, B Kailkhura, A Zhang, C Gunter, B Li NeurIPS 34, 2965-2977, 2021 | 113* | 2021 |
| The llama 3 herd of models L Team arXiv preprint arXiv:2407.21783, 2024 | 112 | 2024 |