| Meta-Transfer Learning for Few-Shot learning Q Sun, Y Liu, TS Chua, B Schiele IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 403-412, 2019 | 133 | 2019 |
| Learning to Self-Train for Semi-Supervised Few-Shot Classification X Li, Q Sun, Y Liu, Q Zhou, S Zheng, TS Chua, B Schiele Advances in Neural Information Processing Systems (NeurIPS), 10276-10286, 2019 | 28* | 2019 |
| LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning Y Liu, Q Sun, AA Liu, Y Su, B Schiele, TS Chua arXiv preprint arXiv:1904.08479, 2019 | 6 | 2019 |
| Mnemonics Training: Multi-Class Incremental Learning without Forgetting Y Liu, Y Su, AA Liu, B Schiele, Q Sun IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12245 …, 2020 | 5* | 2020 |
| An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Y Liu, B Schiele, Q Sun European Conference on Computer Vision (ECCV), 2020 | 2 | 2020 |
| Meta-Transfer Learning through Hard Tasks Q Sun, Y Liu, Z Chen, TS Chua, B Schiele arXiv preprint arXiv:1910.03648, 2019 | 1 | 2019 |
| MSR Video to Language Challenge AA Liu, N Xu, Y Qiu, X Li, M Li, Y Liu, Y Wong, W Nie, Y Su, ... | | 2017 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
