CONTROL BATCH SIZE AND LEARNING RATE TO GENERALIZE WELL: THEORETICAL AND EMPIRICAL EVIDENCE

von He, Fengxiang
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)

DUAL-PATH DISTILLATION: A UNIFIED FRAMEWORK TO IMPROVE BLACK-BOX ATTACKS

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

LEARNING WITH BOUNDED INSTANCE- AND LABEL-DEPENDENT LABEL NOISE

von Cheng, Jiacheng
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 3 of 15 (2021)

Modeling Adversarial Noise for Adversarial Training

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

Robust Dual Recurrent Neural Networks for Financial Time Series Prediction

von He, Jiayu
Veröffentlicht in SIAM International Conference on Data Mining (2021 : Online) SIAM International Conference on Data Mining (SDM21) (2021)

LTF: A LABEL TRANSFORMATION FRAMEWORK FOR CORRECTING TARGET SHIFT

von Guo, Jiaxian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 5 of 15 (2021)

Confident Anchor-Induced Multi-Source Free Domain Adaptation

von Dong, Jiahua
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 4 of 36 (2022)

CONFIDENCE SCORES MAKE INSTANCE-DEPENDENT LABEL-NOISE LEARNING POSSIBLE

von BERTHON, ANTONIN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces

von Deng, Jiankang
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 11 (2020)

DOMAIN GENERALIZATION VIA ENTROPY REGULARIZATION

von Zhao, Shanshan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

PROVABLY END-TO-END LABEL-NOISE LEARNING WITHOUT ANCHOR POINTS

von LI, XUEFENG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

TOWARDS DEFENDING AGAINST ADVERSARIAL EXAMPLES VIA ATTACK-INVARIANT FEATURES

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

LABEL-NOISE ROBUST DOMAIN ADAPTATION

von Yu, Xiyu
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

To Smooth Or Not? When Label Smoothing Meets Noisy Labels

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

Counterfactual Fairness with Partially Known Causal Graph

von Zuo, Aoqi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 2 of 50 (2023)

Instance-dependent Label-noise Learning under a Structural Causal Model

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

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

von Li, Shikun
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 32 of 50 (2023)

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE

von Li, Yewen
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 10 of 50 (2023)

Pluralistic Image Completion with Gaussian Mixture Models

von Xia, Xiaobo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

ARE ANCHOR POINTS REALLY INDISPENSABLE IN LABEL-NOISE LEARNING?

von Xia, Xiaobo
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)