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Erik Englesson
Erik Englesson
Postdoc, KTH
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
E Englesson, H Azizpour
NeurIPS, 2021
1212021
Consistency Regularization can Improve Robustness to Label Noise
E Englesson, H Azizpour
ICML, Workshop, 2021
292021
Deep Double Descent via Smooth Interpolation
M Gamba, E Englesson, M Björkman, H Azizpour
TMLR, 2023
132023
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation
E Englesson, H Azizpour
ICML, Workshop, 2019
122019
Robust Classification via Regression for Learning with Noisy Labels
E Englesson, H Azizpour
ICLR, 2023
62023
Indirectly Parameterized Concrete Autoencoders
A Nilsson, K Wijk, E Englesson, A Hotti, C Saccardi, O Kviman, ...
ICML, 2024
32024
Logistic-Normal Likelihoods for Heteroscedastic Label Noise
E Englesson, A Mehrpanah, H Azizpour
TMLR, 2023
22023
Medical Image Segmentation with SAM-generated Annotations
I Häkkinen, I Melekhov, E Englesson, H Azizpour, J Kannala
ECCV, Workshop, 2024
2024
On Spectral Properties of Gradient-based Explanation Methods
A Mehrpanah, E Englesson, H Azizpour
ECCV, 2024
2024
On Label Noise in Image Classification: An Aleatoric Uncertainty Perspective
E Englesson
KTH Royal Institute of Technology, 2024
2024
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Articles 1–10