| 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 | 1836 | 2018 |
| Contrastive Adaptation Network for Unsupervised Domain Adaptation G Kang, L Jiang, Y Yang, AG Hauptmann CVPR, 2019 | 1222 | 2019 |
| Confident learning: Estimating uncertainty in dataset labels C Northcutt, L Jiang, I Chuang Journal of Artificial Intelligence Research 70, 1373-1411, 2021 | 789 | 2021 |
| Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann AAAI, 2015 | 633 | 2015 |
| Maskgit: Masked generative image transformer H Chang, H Zhang, L Jiang, C Liu, WT Freeman CVPR, 2022 | 588 | 2022 |
| Muse: Text-to-image generation via masked generative transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... ICML, 2023 | 492 | 2023 |
| 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 | 486 | 2019 |
| 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 | 485 | 2019 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann NeurIPS, 2014 | 443 | 2014 |
| 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 | 399 | 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 | 355 | 2014 |
| Robust Neural Machine Translation with Doubly Adversarial Inputs Y Cheng, L Jiang, W Macherey ACL, 2019 | 288 | 2019 |
| Vitgan: Training gans with vision transformers K Lee, H Chang, L Jiang, H Zhang, Z Tu, C Liu ICLR, 2022 | 254 | 2022 |
| Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels L Jiang, D Huang, L Mason, W Yang ICML, 2020 | 241 | 2020 |
| Magvit: Masked generative video transformer L Yu, Y Cheng, K Sohn, J Lezama, H Zhang, H Chang, AG Hauptmann, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 201 | 2023 |
| Language Model Beats Diffusion--Tokenizer is Key to Visual Generation L Yu, J Lezama, NB Gundavarapu, L Versari, K Sohn, D Minnen, Y Cheng, ... ICLR, 2024 | 193 | 2024 |
| Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, A Hauptmann AAAI, 2015 | 190 | 2015 |
| The garden of forking paths: Towards multi-future trajectory prediction J Liang, L Jiang, K Murphy, T Yu, A Hauptmann CVPR, 2020 | 189 | 2020 |
| Videopoet: A large language model for zero-shot video generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, R Hornung, H Adam, ... ICML, 2024 | 175 | 2024 |
| Regularizing Generative Adversarial Networks under Limited Data HY Tseng, L Jiang, C Liu, MH Yang, W Yang CVPR, 2021 | 167 | 2021 |
Alex HauptmannCarnegie Mellon UniversityEmail verificata su cs.cmu.edu