Poster "pseudo-labeling" Papers
10 papers found
Conference
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
Haozhao Wang, Shengyu Wang, Jiaming Li et al.
ICML 2025
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Kaizheng Wang
NEURIPS 2025arXiv:2302.10160
15
citations
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang et al.
CVPR 2025
5
citations
Scale-Free Graph-Language Models
Jianglin Lu, Yixuan Liu, Yitian Zhang et al.
ICLR 2025arXiv:2502.15189
1
citations
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Qinghe Ma, Jian Zhang, Zekun Li et al.
CVPR 2025arXiv:2503.16997
4
citations
Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning
Tianxiang Yin, Ningzhong Liu, Han Sun
CVPR 2025
1
citations
Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
Biao Liu, Ning Xu, Xiangyu Fang et al.
ICML 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Shah Mubarak
ECCV 2024arXiv:2409.01448
5
citations
Language-conditioned Detection Transformer
Jang Hyun Cho, Philipp Krähenbühl
CVPR 2024arXiv:2311.17902
6
citations
Mitigating Background Shift in Class-Incremental Semantic Segmentation
gilhan Park, WonJun Moon, SuBeen Lee et al.
ECCV 2024arXiv:2407.11859
12
citations