WHY NORMALIZING FLOWS FAI TO DETECT OUT-OF-DISTRIBUTION DATA

von Kirichenko, Polina
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

SEMI-SUPERVISED LEARNING WITH NORMALIZING FLOWS

von Izmailov, Pavel
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

On Feature Learning in the Presence of Spurious Correlations

von Izmailov, Pavel
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 50 of 50 (2023)

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers

von Yang, Wanqian
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 27 of 50 (2023)

Does Knowledge Distillation Really Work?

von Stanton, Samuel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)