| Deeply-supervised nets CY Lee, S Xie, P Gallagher, Z Zhang, Z Tu International Conference on Artificial Intelligence and Statistics (AISTATS), 2015 | 2625 | 2015 |
| Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks Z Chen, V Badrinarayanan, CY Lee, A Rabinovich International Conference on Machine Learning (ICML), 2018 | 1007 | 2018 |
| Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree CY Lee, PW Gallagher, Z Tu International Conference on Artificial Intelligence and Statistics (AISTATS), 2016 | 760 | 2016 |
| Sliced wasserstein discrepancy for unsupervised domain adaptation CY Lee, T Batra, MH Baig, D Ulbricht IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 544 | 2019 |
| Recursive recurrent nets with attention modeling for ocr in the wild CY Lee, S Osindero IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 539 | 2016 |
| A Simple Semi-Supervised Learning Framework for Object Detection K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister arXiv preprint arXiv:2005.04757, 2020 | 386 | 2020 |
| 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 | 235 | 2022 |
| Training deeper convolutional networks with deep supervision L Wang, CY Lee, Z Tu, S Lazebnik arXiv preprint arXiv:1505.02496, 2015 | 197 | 2015 |
| Roomnet: End-to-end room layout estimation CY Lee, V Badrinarayanan, T Malisiewicz, A Rabinovich IEEE International Conference on Computer Vision (ICCV), 2017 | 181 | 2017 |
| 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 | 130 | 2022 |
| Learning to Branch for Multi-Task Learning P Guo, CY Lee, D Ulbricht International Conference on Machine Learning (ICML), 2020 | 115 | 2020 |
| Region-based discriminative feature pooling for scene text recognition CY Lee, A Bhardwaj, W Di, V Jagadeesh, R Piramuthu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 | 114 | 2014 |
| Smoke detection using spatial and temporal analyses CY Lee, CT Lin, CT Hong, MT Su International Journal of Innovative Computing, Information and Control (IJICIC), 2012 | 88 | 2012 |
| Room layout estimation methods and techniques CY Lee, V Badrinarayanan, T Malisiewicz, A Rabinovich US Patent 10,657,376, 2020 | 59 | 2020 |
| Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes CY Hsieh, CL Li, CK Yeh, H Nakhost, Y Fujii, A Ratner, R Krishna, CY Lee, ... arXiv preprint arXiv:2305.02301, 2023 | 58 | 2023 |
| FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction CY Lee, CL Li, T Dozat, V Perot, G Su, N Hua, J Ainslie, R Wang, Y Fujii, ... Association for Computational Linguistics (ACL), 2022 | 49 | 2022 |
| Spatio-temporal analysis in smoke detection CY Lee, CT Lin, CT Hong IEEE International Conference on Signal and Image Processing Applications …, 2009 | 28 | 2009 |
| System and method for scene text recognition A Bhardwaj, CY Lee, R Piramuthu, V Jagadeesh, W Di US Patent 9,245,191, 2016 | 22 | 2016 |
| ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction CY Lee, CL Li, C Wang, R Wang, Y Fujii, S Qin, A Popat, T Pfister Association for Computational Linguistics (ACL), 2021 | 21 | 2021 |
| Meta-learning for multi-task learning for neural networks A Rabinovich, V Badrinarayanan, S Rajendran, CY Lee US Patent 11,048,978, 2021 | 16 | 2021 |
Tomas PfisterHead of AI Research @ Google CloudVerified email at google.com
