5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
Zihan Fang, Zhiyong Xu, Lan Du +3
Existing multi-view learning models struggle in open-set scenarios due to their implicit assumption of class completeness. Moreover, static view-induced biases, which arise from sp…
cs.LG2024★ 5 cited
Federated Distillation: A Survey
Lin Li, Jianping Gou, Baosheng Yu +2
Federated Learning (FL) seeks to train a model collaboratively without sharing private training data from individual clients. Despite its promise, FL encounters challenges such as…