- PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance.
[pdf]
[code]
- Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao. AAAI 2024
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SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training. [pdf]
- Enmao Diao, Jie Ding, Vahid Tarokh. Neurips 2022
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RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. [pdf]
- Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li. CVPR 2022
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NP-Match: When Neural Processes meet Semi-Supervised Learning. [pdf]
- Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou. ICML 2022
- Semi-Supervised Learning on Data Streams via Temporal Label Propagation.
[pdf]
- Tal Wagner, Sudipto Guha, Shiva Kasiviswanathan, Nina Mishra. ICML 2018
- Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering.
[pdf]
- Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui. AAAI 2017
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Robust Semi-Supervised Learning through Label Aggregation. [pdf]
- Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang. AAAI 2016
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Semi-Supervised Dictionary Learning via Structural Sparse Preserving. [pdf]
- Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye. AAAI 2016
- Efficient Semi-supervised and Active Learning of Disjunctions.
[pdf]
- Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang. ICML 2013