| 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 | 4148 | 2021 |
| Universal sentence encoder Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St ... arXiv preprint arXiv:1803.11175, 2018 | 3607* | 2018 |
| 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 2 (3), 5, 2022 | 1181 | 2022 |
| Language-agnostic BERT sentence embedding F Feng, Y Yang, D Cer, N Arivazhagan, W Wang arXiv preprint arXiv:2007.01852, 2020 | 1075 | 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 | 594 | 2019 |
| Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models J Ni, GH Abrego, N Constant, J Ma, KB Hall, D Cer, Y Yang arXiv preprint arXiv:2108.08877, 2021 | 528 | 2021 |
| 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 | 423 | 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 | 400 | 2021 |
| PAWS-X: A cross-lingual adversarial dataset for paraphrase identification Y Yang, Y Zhang, C Tar, J Baldridge arXiv preprint arXiv:1908.11828, 2019 | 372 | 2019 |
| 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 | 317 | 2021 |
| 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 | 283 | 2014 |
| Ferret: Refer and ground anything anywhere at any granularity H You, H Zhang, Z Gan, X Du, B Zhang, Z Wang, L Cao, SF Chang, ... arXiv preprint arXiv:2310.07704, 2023 | 280 | 2023 |
| 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 | 272 | 2018 |
| Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al. Universal sentence encoder D Cer, Y Yang, S Kong, N Hua, N Limtiaco arXiv preprint arXiv:1803.11175 8, 61, 2018 | 227 | 2018 |
| MM1: methods, analysis and insights from multimodal LLM pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... European Conference on Computer Vision, 304-323, 2024 | 226 | 2024 |
| 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 | 189 | 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 | 182 | 2018 |
| 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 | 165* | 2020 |
| 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 | 133 | 2019 |
| 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 | 131 | 2018 |
Daniel CerResearch Scientist, Google ResearchE-mailová adresa ověřena na: google.com
