Learning to prompt for continual learning Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 428 | 2022 |
Dualprompt: Complementary prompting for rehearsal-free continual learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision, 631-648, 2022 | 245 | 2022 |
NeuroPAL: a multicolor atlas for whole-brain neuronal identification in C. elegans E Yemini, A Lin, A Nejatbakhsh, E Varol, R Sun, GE Mena, ADT Samuel, ... Cell 184 (1), 272-288. e11, 2021 | 202* | 2021 |
Kohn-Sham equations as regularizer: Building prior knowledge into machine-learned physics L Li, S Hoyer, R Pederson, R Sun, ED Cubuk, P Riley, K Burke Physical review letters 126 (3), 036401, 2021 | 148 | 2021 |
Towards understanding retrosynthesis by energy-based models R Sun, H Dai, L Li, S Kearnes, B Dai Advances in Neural Information Processing Systems 34, 10186-10194, 2021 | 55* | 2021 |
Does gnn pretraining help molecular representation? R Sun, H Dai, AW Yu Advances in Neural Information Processing Systems 35, 12096-12109, 2022 | 44 | 2022 |
Using a thousand optimization tasks to learn hyperparameter search strategies L Metz, N Maheswaranathan, R Sun, CD Freeman, B Poole, ... arXiv preprint arXiv:2002.11887, 2020 | 35 | 2020 |
Sql-palm: Improved large language modeladaptation for text-to-sql R Sun, SO Arik, H Nakhost, H Dai, R Sinha, P Yin, T Pfister arXiv preprint arXiv:2306.00739, 2023 | 29 | 2023 |
Combination use of ultrasound irradiation and ionic liquid in enzymatic isomerization of glucose to fructose Y Wang, Y Pan, Z Zhang, R Sun, X Fang, D Yu Process Biochemistry 47 (6), 976-982, 2012 | 26 | 2012 |
Better zero-shot reasoning with self-adaptive prompting X Wan, R Sun, H Dai, SO Arik, T Pfister arXiv preprint arXiv:2305.14106, 2023 | 21 | 2023 |
Reverse engineering learned optimizers reveals known and novel mechanisms N Maheswaranathan, D Sussillo, L Metz, R Sun, J Sohl-Dickstein Advances in Neural Information Processing Systems 34, 19910-19922, 2021 | 20 | 2021 |
Statistical Atlas of C. elegans Neurons E Varol, A Nejatbakhsh, R Sun, G Mena, E Yemini, O Hobert, L Paninski Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 14 | 2020 |
Scalable approximate Bayesian inference for particle tracking data R Sun, L Paninski International Conference on Machine Learning, ICML 2018, 276253, 2018 | 12 | 2018 |
Ultrasound-promoted Lipase-catalyzed Enantioselective Transesterification of (R,S)-Glycidol B An, X Xie, E Xun, J Wang, R Sun, L Wang*, Z Wang* Chemical Research in Chinese universities 27 ((5)), 845-849, 2011 | 9 | 2011 |
Universal self-adaptive prompting X Wan, R Sun, H Nakhost, H Dai, JM Eisenschlos, SO Arik, T Pfister arXiv preprint arXiv:2305.14926, 2023 | 6 | 2023 |
Scalable variational inference for super resolution microscopy R Sun, E Archer, L Paninski International Conference on Artificial Intelligence and Statistics (AISTATS …, 2016 | 6 | 2016 |
Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 4 | 2024 |
Effective large language model adaptation for improved grounding X Ye, R Sun, SÖ Arik, T Pfister arXiv preprint arXiv:2311.09533, 2023 | 4 | 2023 |
Neural spline search for quantile probabilistic modeling R Sun, CL Li, SÖ Arik, MW Dusenberry, CY Lee, T Pfister Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9927-9934, 2023 | 2 | 2023 |
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data R Sun, SÖ Arik, R Sinha, H Nakhost, H Dai, P Yin, T Pfister arXiv preprint arXiv:2311.02883, 2023 | 1 | 2023 |