Englesson, Erik

7 publications

ICML 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 Motilva, Hossein Azizpour

ECCVW 2024 Medical Image Segmentation with SAM-Generated Annotations Iira Häkkinen, Iaroslav Melekhov, Erik Englesson, Hossein Azizpour, Juho Kannala

ECCV 2024 On Spectral Properties of Gradient-Based Explanation Methods Amir Mehrpanah, Erik Englesson, Hossein Azizpour

ICLR 2024 Robust Classification via Regression for Learning with Noisy Labels Erik Englesson, Hossein Azizpour

TMLR 2023 Deep Double Descent via Smooth Interpolation Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour

TMLR 2023 Logistic-Normal Likelihoods for Heteroscedastic Label Noise Erik Englesson, Amir Mehrpanah, Hossein Azizpour

NeurIPS 2021 Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson, Hossein Azizpour