| Generalized jensen-shannon divergence loss for learning with noisy labels E Englesson, H Azizpour Advances in Neural Information Processing Systems 34, 30284-30297, 2021 | 58 | 2021 |
| Consistency regularization can improve robustness to label noise E Englesson, H Azizpour arXiv preprint arXiv:2110.01242, 2021 | 14 | 2021 |
| Efficient evaluation-time uncertainty estimation by improved distillation E Englesson, H Azizpour arXiv preprint arXiv:1906.05419, 2019 | 9 | 2019 |
| Deep double descent via smooth interpolation M Gamba, E Englesson, M Björkman, H Azizpour arXiv preprint arXiv:2209.10080, 2022 | 6 | 2022 |
| Logistic-Normal Likelihoods for Heteroscedastic Label Noise E Englesson, A Mehrpanah, H Azizpour Transactions on Machine Learning Research, 2023, 2023 | | 2023 |
Hossein AzizpourAssociate Professor, KTH (Royal Institute of Technology)Verified email at kth.se
