| Universal sentence encoder D Cer, Y Yang, S Kong, N Hua, N Limtiaco, RS John, N Constant, ... arXiv preprint arXiv:1803.11175, 2018 | 2495* | 2018 |
| Scaling up visual and vision-language representation learning with noisy text supervision C Jia, Y Yang, Y Xia, YT Chen, Z Parekh, H Pham, Q Le, YH Sung, Z Li, ... International Conference on Machine Learning, 4904-4916, 2021 | 1138 | 2021 |
| Language-agnostic bert sentence embedding F Feng, Y Yang, D Cer, N Arivazhagan, W Wang arXiv preprint arXiv:2007.01852, 2020 | 394 | 2020 |
| Multilingual universal sentence encoder for semantic retrieval Y Yang, D Cer, A Ahmad, M Guo, J Law, N Constant, GH Abrego, S Yuan, ... arXiv preprint arXiv:1907.04307, 2019 | 352 | 2019 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789, 2022 | 229 | 2022 |
| Single image 3D object detection and pose estimation for grasping M Zhu, KG Derpanis, Y Yang, S Brahmbhatt, M Zhang, C Phillips, M Lecce, ... 2014 IEEE International Conference on Robotics and Automation (ICRA), 3936-3943, 2014 | 218 | 2014 |
| PAWS-X: A cross-lingual adversarial dataset for paraphrase identification Y Yang, Y Zhang, C Tar, J Baldridge arXiv preprint arXiv:1908.11828, 2019 | 212 | 2019 |
| A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature B Nye, JJ Li, R Patel, Y Yang, IJ Marshall, A Nenkova, BC Wallace Proceedings of the conference. Association for Computational Linguistics …, 2018 | 176 | 2018 |
| Cross-modal contrastive learning for text-to-image generation H Zhang, JY Koh, J Baldridge, H Lee, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 174 | 2021 |
| Learning Semantic Textual Similarity from Conversations Y Yang, S Yuan, D Cer, S Kong, N Constant, P Pilar, H Ge, YH Sung, ... The 3rd Workshop on Representation Learning for NLP (RepL4NLP), ACL2018, 2018 | 156 | 2018 |
| Learning cross-lingual sentence representations via a multi-task dual-encoder model M Chidambaram, Y Yang, D Cer, S Yuan, YH Sung, B Strope, R Kurzweil arXiv preprint arXiv:1810.12836, 2018 | 124 | 2018 |
| Semantic analysis and helpfulness prediction of text for online product reviews Y Yang, Y Yan, M Qiu, F Bao Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 93 | 2015 |
| Zero-shot neural passage retrieval via domain-targeted synthetic question generation J Ma, I Korotkov, Y Yang, K Hall, R McDonald arXiv preprint arXiv:2004.14503, 2020 | 92* | 2020 |
| Effective parallel corpus mining using bilingual sentence embeddings M Guo, Q Shen, Y Yang, H Ge, D Cer, GH Abrego, K Stevens, N Constant, ... arXiv preprint arXiv:1807.11906, 2018 | 92 | 2018 |
| Improving multilingual sentence embedding using bi-directional dual encoder with additive margin softmax Y Yang, GH Abrego, S Yuan, M Guo, Q Shen, D Cer, YH Sung, B Strope, ... arXiv preprint arXiv:1902.08564, 2019 | 91 | 2019 |
| Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models J Ni, GH Ábrego, N Constant, J Ma, KB Hall, D Cer, Y Yang arXiv preprint arXiv:2108.08877, 2021 | 84 | 2021 |
| Longt5: Efficient text-to-text transformer for long sequences M Guo, J Ainslie, D Uthus, S Ontanon, J Ni, YH Sung, Y Yang arXiv preprint arXiv:2112.07916, 2021 | 72 | 2021 |
| Large dual encoders are generalizable retrievers J Ni, C Qu, J Lu, Z Dai, GH Ábrego, J Ma, VY Zhao, Y Luan, KB Hall, ... arXiv preprint arXiv:2112.07899, 2021 | 65 | 2021 |
| Cross-domain review helpfulness prediction based on convolutional neural networks with auxiliary domain discriminators C Chen, Y Yang, J Zhou, X Li, F Bao Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 57 | 2018 |
| Linking named entities to any database A Sil, E Cronin, P Nie, Y Yang, AM Popescu, A Yates Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 52 | 2012 |
Daniel CerResearch Scientist, Google ResearchVerified email at google.com
