Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

von Wei, Hongxin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 10 of 36 (2022)

Open-Sampling: Exploring Out-Of-Distribution Data for Re-Balancing Long-Tailed Datasets

von Wei, Hongxin
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 29 of 33 (2023)

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes

von Shu, Senlin
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)

Mitigating Neural Network Overconfidence with Logit Normalization

von Wei, Hongxin
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 29 of 33 (2023)

Can Adversarial Training Be Manipulated By Non-Robust Features?

von Tao, Lue
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)

ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection

von ZHUANG, HUIPING
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50 (2023)