Artikel mit Open-Access-Mandaten - Xiong Zhou（周雄）Weitere Informationen
Nicht verfügbar: 1
Asymmetric loss functions for noise-tolerant learning: Theory and applications
X Zhou, X Liu, D Zhai, J Jiang, X Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8094-8109, 2023
Mandate: National Natural Science Foundation of China
Verfügbar: 7
Learning with Noisy Labels via Sparse Regularization
X Zhou, X Liu, C Wang, D Zhai, J Jiang, X Ji
ICCV 2021, 2021
Mandate: National Natural Science Foundation of China
Asymmetric Loss Functions for Learning with Noisy Labels
X Zhou, X Liu, J Jiang, X Gao, X Ji
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
Mandate: National Natural Science Foundation of China
No one idles: Efficient heterogeneous federated learning with parallel edge and server computation
F Zhang, X Liu, S Lin, G Wu, X Zhou, J Jiang, X Ji
International Conference on Machine Learning, 41399-41413, 2023
Mandate: National Natural Science Foundation of China
Resmooth: Detecting and utilizing ood samples when training with data augmentation
C Wang, J Jiang, X Zhou, X Liu
IEEE Transactions on Neural Networks and Learning Systems, 2022
Mandate: National Natural Science Foundation of China
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
X Zhou, X Liu, H Yu, J Wang, Z Xie, J Jiang, X Ji
The Twelfth International Conference on Learning Representations, 2024
Mandate: National Natural Science Foundation of China
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
X Zhou, X Liu, F Zhang, G Wu, D Zhai, J Jiang, X Ji
The Twelfth International Conference on Learning Representations, 2024
Mandate: National Natural Science Foundation of China
On the dynamics under the unhinged loss and beyond
X Zhou, X Liu, H Wang, D Zhai, X Ji
Journal of Machine Learning Research 24 (376), 1-62, 2023
Mandate: National Natural Science Foundation of China
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