Folgen
Ziwei Wu
Titel
Zitiert von
Zitiert von
Jahr
Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system
T Wei, F Feng, J Chen, Z Wu, J Yi, X He
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
3092021
Fast adaptation for cold-start collaborative filtering with meta-learning
T Wei, Z Wu, R Li, Z Hu, F Feng, X He, Y Sun, W Wang
2020 IEEE International Conference on Data Mining (ICDM), 661-670, 2020
722020
Deep active learning by leveraging training dynamics
H Wang, W Huang, Z Wu, H Tong, AJ Margenot, J He
Advances in Neural Information Processing Systems 35, 25171-25184, 2022
352022
Fairness-aware model-agnostic positive and unlabeled learning
Z Wu, J He
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
162022
Training fair deep neural networks by balancing influence
H Wang, Z Wu, J He
arXiv preprint arXiv:2201.05759, 2022
152022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes
H Wang, Z Wu, J He
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
72024
Neural active learning beyond bandits
Y Ban, I Agarwal, Z Wu, Y Zhu, K Weldemariam, H Tong, J He
arXiv preprint arXiv:2404.12522, 2024
62024
Fair Anomaly Detection For Imbalanced Groups
Z Wu, L Zheng, Y Yu, R Qiu, J Birge, J He
arXiv preprint arXiv:2409.10951, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–8