| Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning P Sharma, N Ding, S Goodman, R Soricut Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 3355 | 2018 |
| Characterizing quantum supremacy in near-term devices S Boixo, SV Isakov, VN Smelyanskiy, R Babbush, N Ding, Z Jiang, ... Nature Physics 14 (6), 595-600, 2018 | 1739 | 2018 |
| Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts S Changpinyo, P Sharma, N Ding, R Soricut Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1511 | 2021 |
| Scalable quantum simulation of molecular energies PJJ O’Malley, R Babbush, ID Kivlichan, J Romero, JR McClean, ... Physical Review X 6 (3), 031007, 2016 | 1502 | 2016 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... arXiv preprint arXiv:2209.06794, 2022 | 1014 | 2022 |
| What is the computational value of finite-range tunneling? VS Denchev, S Boixo, SV Isakov, N Ding, R Babbush, V Smelyanskiy, ... Physical Review X 6 (3), 031015, 2016 | 644 | 2016 |
| Large-scale object classification using label relation graphs J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ... European conference on computer vision, 48-64, 2014 | 591 | 2014 |
| Bayesian sampling using stochastic gradient thermostats N Ding, Y Fang, R Babbush, C Chen, RD Skeel, H Neven Advances in Neural Information Processing Systems, 3203-3211, 2014 | 289 | 2014 |
| On the convergence of stochastic gradient MCMC algorithms with high-order integrators C Chen, N Ding, L Carin Advances in neural information processing systems 28, 2015 | 226 | 2015 |
| Do Transformer Modifications Transfer Across Implementations and Applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... EMNLP 2021, 2021 | 137 | 2021 |
| Talking-heads attention N Shazeer, Z Lan, Y Cheng, N Ding, L Hou arXiv preprint arXiv:2003.02436, 2020 | 98 | 2020 |
| All you may need for VQA are image captions S Changpinyo, D Kukliansy, I Szpektor, X Chen, N Ding, R Soricut Proceedings of the 2022 conference of the north american chapter of the …, 2022 | 90 | 2022 |
| Robust classification with adiabatic quantum optimization VS Denchev, N Ding, SVN Vishwanathan, H Neven International Conference on Machine Learning, 2012 | 80 | 2012 |
| SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation Y Zhang, N Ding, R Soricut NAACL 2018, 2018 | 64 | 2018 |
| Cold-Start Reinforcement Learning with Softmax Policy Gradient N Ding, R Soricut Advances in Neural Information Processing Systems, 2017, 2017 | 61 | 2017 |
| THU and ICRC at TRECVID 2007. J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, D Wang, X Liu, C Liu, ... TRECVID, 2007 | 49 | 2007 |
| Pactran: Pac-bayesian metrics for estimating the transferability of pretrained models to classification tasks N Ding, X Chen, T Levinboim, S Changpinyo, R Soricut European Conference on Computer Vision, 252-268, 2022 | 46 | 2022 |
| Probabilistic inference in machine learning using a quantum oracle N Ding, M MOHSENI, H Neven US Patent 10,339,466, 2019 | 42 | 2019 |
| Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning N Ding, X Chen, T Levinboim, S Goodman, R Soricut Advances in Neural Information Processing Systems, 2021, 2021 | 40 | 2021 |
Radu SoricutDistinguished Scientist at GoogleVerified email at google.com
