ASYMPTOTIC NORMALITY AND CONFIDENCE INTERVALS FOR PREDICTION RISK OF THE MIN-NORM LEAST SQUARES ESTIMATOR

von LI, ZENG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 9 of 16 (2022)

Towards a Theoretical Framework of Out-of-Distribution Generalization

von Ye, Haotian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 28 of 36 (2022)

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps

von Muhammad, Awais
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization

von Dong, Qishi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

Boosting Out-of-distribution Detection with Typical Features

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

Fair-CDA: Continuous and Directional Augmentation for Group Fairness

von Sun, Rui
Veröffentlicht in AAAI Conference on Artificial Intelligence (37. : 2023 : Washington, DC; Online) 37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 8, part 2 of 2 (2023)