| Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei ICML, 2018 | 654 | 2018 |
| Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann AAAI, 2015 | 351 | 2015 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in Neural Information Processing Systems 27, 2078-2086, 2014 | 293 | 2014 |
| Contrastive Adaptation Network for Unsupervised Domain Adaptation G Kang, L Jiang, Y Yang, AG Hauptmann CVPR, 2019 | 262 | 2019 |
| Easy samples first: Self-paced reranking for zero-example multimedia search L Jiang, D Meng, T Mitamura, AG Hauptmann ACM international conference on Multimedia, 2014 | 224 | 2014 |
| Peeking into the Future: Predicting Future Person Activities and Locations in Videos J Liang, L Jiang, JC Niebles, A Hauptmann, L Fei-Fei CVPR, 2019 | 168 | 2019 |
| A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017 | 138* | 2017 |
| Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann AAAI, 2015 | 125 | 2015 |
| Eidetic 3D LSTM: A Model for Video Prediction and Beyond Y Wang, L Jiang, MH Yang, LJ Li, M Long, L Fei-Fei ICLR, 2019 | 122 | 2019 |
| Revealing event saliency in unconstrained video collection D Zhang, J Han, L Jiang, S Ye, X Chang IEEE Transactions on Image Processing 26 (4), 1746-1758, 2017 | 120 | 2017 |
| Robust Neural Machine Translation with Doubly Adversarial Inputs Y Cheng, L Jiang, W Macherey ACL, 2019 | 113 | 2019 |
| A self-paced multiple-instance learning framework for co-saliency detection D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han Proceedings of the IEEE international conference on computer vision, 594-602, 2015 | 107 | 2015 |
| Confident learning: Estimating uncertainty in dataset labels C Northcutt, L Jiang, I Chuang Journal of Artificial Intelligence Research 70, 1373-1411, 2021 | 84 | 2021 |
| Composing Text and Image for Image Retrieval-An Empirical Odyssey N Vo, L Jiang, C Sun, K Murphy, LJ Li, L Fei-Fei, J Hays CVPR, 2019 | 84 | 2019 |
| Leveraging high-level and low-level features for multimedia event detection L Jiang, AG Hauptmann, G Xiang Proceedings of the 20th ACM international conference on Multimedia, 449-458, 2012 | 80 | 2012 |
| Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014 | 79 | 2014 |
| Focal visual-text attention for visual question answering J Liang, L Jiang, L Cao, LJ Li, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 77 | 2018 |
| Bridging the ultimate semantic gap: A semantic search engine for internet videos L Jiang, SI Yu, D Meng, T Mitamura, AG Hauptmann Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 76* | 2015 |
| Zero-example event search using multimodal pseudo relevance feedback L Jiang, T Mitamura, SI Yu, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 297-304, 2014 | 73 | 2014 |
| Graph Distillation for Action Detection with Privileged Modalities Z Luo, JT Hsieh, L Jiang, JC Niebles, L Fei-Fei ECCV, 2018 | 70 | 2018 |
Alex HauptmannCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
