Umix: Improving importance weighting for subpopulation shift via uncertainty-aware mixup

Z Han, Z Liang, F Yang, L Liu, L Li… - Advances in …, 2022 - proceedings.neurips.cc
Subpopulation shift widely exists in many real-world machine learning applications, referring
to the training and test distributions containing the same subpopulation groups but varying in …

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian… - arXiv preprint arXiv …, 2022 - arxiv.org
Subpopulation shift widely exists in many real-world machine learning applications, referring
to the training and test distributions containing the same subpopulation groups but varying in …

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian… - Advances in Neural …, 2022 - openreview.net
Subpopulation shift widely exists in many real-world machine learning applications, referring
to the training and test distributions containing the same subpopulation groups but varying in …

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Subpopulation shift widely exists in many real-world machine learning applications, referring
to the training and test distributions containing the same subpopulation groups but varying in …

UMIX: improving importance weighting for subpopulation shift via uncertainty-aware mixup

Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian… - Proceedings of the 36th …, 2022 - dl.acm.org
Subpopulation shift widely exists in many real-world machine learning applications, referring
to the training and test distributions containing the same subpopulation groups but varying in …

[PDF][PDF] UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup

Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao… - ai.tencent.com
Subpopulation shift widely exists in many real-world machine learning applications, referring
to the training and test distributions containing the same subpopulation groups but varying in …