| Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels E Englesson, H Azizpour Advances in Neural Information Processing Systems 34, 30284-30297, 2021 | 76 | 2021 |
| Consistency Regularization can Improve Robustness to Label Noise E Englesson, H Azizpour International Conference on Machine Learning, UDL Workshop, 2021 | 18 | 2021 |
| Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation E Englesson, H Azizpour International Conference on Machine Learning, UDL Workshop, 2019 | 9 | 2019 |
| Deep Double Descent via Smooth Interpolation M Gamba, E Englesson, M Björkman, H Azizpour Transactions on Machine Learning Research, 2023 | 8 | 2023 |
| Indirectly Parameterized Concrete Autoencoders A Nilsson, K Wijk, E Englesson, A Hotti, C Saccardi, O Kviman, ... arXiv preprint arXiv:2403.00563, 2024 | | 2024 |
| Robust Classification via Regression-Based Loss Reweighting and Label Correction E Englesson, H Azizpour The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Logistic-Normal Likelihoods for Heteroscedastic Label Noise E Englesson, A Mehrpanah, H Azizpour Transactions on Machine Learning Research, 2023 | | 2023 |
Hossein AzizpourAssociate Professor, KTH (Royal Institute of Technology)Verified email at kth.se
