HYPERPARAMETER ENSEMBLES FOR ROBUSTNESS AND UNCERTAINTY QUANTIFICATION

von Wenzel, Florian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)

SIMPLE AND PRINCIPLED UNCERTAINTY ESTIMATION WITH DETERMNISTIC DEEP LEARNING VIA DISTANCE AWARENESS

von Liu, Jeremiah
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 10 of 27 (2021)

Soft Calibration Objectives for Neural Networks

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

Revisiting the Calibration of Modern Neural Networks

von Minderer, Matthias
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

EFFICIENT AND SCALABLE BAYESIAN NEURAL NETS WITH RANK-1 FACTORS

von Dusenberry, Michael W.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 4 of 15 (2021)