Exploring the Limits of Out-of-Distribution Detection

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

BAYESIAN DEEP ENSEMBLES VIA THE NEURAL TANGENT KERNEL

von He, Bobby
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation

von Qin, Yao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

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)

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)