Erik Englesson

According to our database, Erik Englesson authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Medical Image Segmentation with SAM-generated Annotations.

Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala

CoRR, 2024

Indirectly Parameterized Concrete Autoencoders.

Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Classification via Regression for Learning with Noisy Labels.

Erik Englesson, Hossein Azizpour

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On Spectral Properties of Gradient-Based Explanation Methods.

Amir Mehrpanah, Erik Englesson, Hossein Azizpour

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep Double Descent via Smooth Interpolation.

Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour

Trans. Mach. Learn. Res., 2023

Logistic-Normal Likelihoods for Heteroscedastic Label Noise.

Erik Englesson, Amir Mehrpanah, Hossein Azizpour

Trans. Mach. Learn. Res., 2023

Logistic-Normal Likelihoods for Heteroscedastic Label Noise in Classification.

Erik Englesson, Amir Mehrpanah, Hossein Azizpour

CoRR, 2023

2021

Consistency Regularization Can Improve Robustness to Label Noise.

Erik Englesson, Hossein Azizpour

CoRR, 2021

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels.

Erik Englesson, Hossein Azizpour

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation.

Erik Englesson, Hossein Azizpour

CoRR, 2019