Dive into Deep Learning A Zhang, ZC Lipton, M Li, AJ Smola Cambridge University Press, 2023 | 1451 | 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 | 732 | 2017 |
Automatic Chain of Thought Prompting in Large Language Models Z Zhang, A Zhang, M Li, A Smola ICLR, 2023 | 624 | 2023 |
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga, D Yang EMNLP, 2023 | 621 | 2023 |
The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 347 | 2024 |
Multimodal Chain-of-Thought Reasoning in Language Models Z Zhang, A Zhang, M Li, H Zhao, G Karypis, A Smola TMLR, 2023 | 302 | 2023 |
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 | 249 | 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 | 226 | 2020 |
A unified lottery ticket hypothesis for graph neural networks T Chen, Y Sui, X Chen, A Zhang, Z Wang ICML, 1695-1706, 2021 | 178 | 2021 |
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 | 162 | 2018 |
Dive into deep learning. 2020 A Zhang, ZC Lipton, M Li, AJ Smola arXiv preprint arXiv:2106.11342, 2020 | 160 | 2020 |
AIM: Adapting Image Models for Efficient Video Understanding T Yang, Y Zhu, Y Xie, A Zhang, C Chen, M Li ICLR, 2023 | 157* | 2023 |
Introducing meta llama 3: The most capable openly available llm to date AI Meta Meta AI, 2024 | 139 | 2024 |
Free for all! assessing user data exposure to advertising libraries on android. S Demetriou, W Merrill, W Yang, A Zhang, CA Gunter NDSS, 2016 | 119 | 2016 |
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 | 114 | 2019 |
ControlVAE: Controllable Variational Autoencoder H Shao, S Yao, D Sun, A Zhang, S Liu, D Liu, J Wang, T Abdelzaher ICML, 2020 | 107 | 2020 |
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 | 97* | 2021 |
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with Parameters A Zhang, Y Tay, S Zhang, A Chan, AT Luu, SC Hui, J Fu ICLR (Outstanding Paper Award), 2021 | 90 | 2021 |
CoCon: A Self-Supervised Approach for Controlled Text Generation A Chan, YS Ong, B Pung, A Zhang, J Fu ICLR, 2020 | 87 | 2020 |
Text style transfer: A review and experimental evaluation Z Hu, RKW Lee, CC Aggarwal, A Zhang ACM SIGKDD Explorations 24 (1), 14-45, 2022 | 80 | 2022 |