| Google’s neural machine translation system: Bridging the gap between human and machine translation Y Wu arXiv preprint arXiv:1609.08144, 2016 | 8917 | 2016 |
| Wide & deep learning for recommender systems HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, H Aradhye, ... Proceedings of the 1st workshop on deep learning for recommender systems, 7-10, 2016 | 4116 | 2016 |
| Scalable and accurate deep learning with electronic health records A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj, M Hardt, PJ Liu, X Liu, ... NPJ digital medicine 1 (1), 1-10, 2018 | 2298 | 2018 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 209 | 2019 |
| Deep reinforcement learning for list-wise recommendations X Zhao, L Zhang, L Xia, Z Ding, D Yin, J Tang arXiv preprint arXiv:1801.00209, 2017 | 192 | 2017 |
| Understanding and improving recurrent networks for human activity recognition by continuous attention M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu Proceedings of the 2018 ACM international symposium on wearable computers, 56-63, 2018 | 183 | 2018 |
| Autoemb: Automated embedding dimensionality search in streaming recommendations X Zhaok, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ... 2021 IEEE International Conference on Data Mining (ICDM), 896-905, 2021 | 106 | 2021 |
| Dear: Deep reinforcement learning for online advertising impression in recommender systems X Zhao, C Gu, H Zhang, X Yang, X Liu, J Tang, H Liu Proceedings of the AAAI conference on artificial intelligence 35 (1), 750-758, 2021 | 104 | 2021 |
| Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016) Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 103 | 2016 |
| ukasz Kaiser Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens …, 2016 | 93 | 2016 |
| & Dean, J.(2016). Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 0 | 78 | |
| Automated Embedding Size Search in Deep Recommender Systems JT Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 77 | 2020 |
| Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... | 76 | 2016 |
| Jointly learning to recommend and advertise X Zhao, X Zheng, X Yang, X Liu, J Tang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 69 | 2020 |
| wide and deep machine learning models HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, ... US Patent App. 15/394,668, 2006 | 35* | 2006 |
| Deep reinforcement learning for online advertising in recommender systems X Zhao, C Gu, H Zhang, X Liu, X Yang, J Tang arXiv preprint arXiv:1909.03602, 2019 | 24 | 2019 |
| System and method for predicting and summarizing medical events from electronic health records K Chen, P Sundberg, A Mossin, N Hajaj, K Litsch, J Wexler, Y Zhang, ... US Patent 11,398,299, 2022 | 19 | 2022 |
| Deep retrieval: learning a retrievable structure for large-scale recommendations W Gao, X Fan, C Wang, J Sun, K Jia, W Xiao, R Ding, X Bin, H Yang, X Liu arXiv preprint arXiv:2007.07203, 2020 | 19 | 2020 |
| Wide & Deep Learning for Recommender Systems. CoRR abs/1606.07792 (2016) HT Cheng, L Koc, J Harmsen, T Shaked, T Chandra, H Aradhye, ... arXiv preprint arXiv:1606.07792, 2016 | 17 | 2016 |
| Scalable and accurate deep learning with electronic health records. NPJ Digit Med. 2018; 1 (1): 18 A Rajkomar, E Oren, K Chen, HN Dai AM, M Hardt, PJ Liu, X Liu, J Marcus, ... | 14 | |
Yonghui WuGoogle BrainVerified email at google.com
