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Semi-Supervised Few-Shot Class-Incremental Learning

Peer-reviewed
Open access
DOI
10.1109/icip42928.2021.9506346
Cui, Yawen; Xiong, Wuti; Tavakolian, Mohammad; Liu, Li
Proceedings : International Conference on Image Processing2021Publications information icon

A kernel-learning approach to semi-supervised clustering with relative distance comparisons

Peer-reviewed
Amid, Ehsan; Gionis, Aristides; Ukkonen, Antti
SPRINGER2015Publications information icon

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Peer-reviewed
Open access
DOI
10.1145/3581783.3612836
Lian, Zheng; Sun, Haiyang; Sun, Licai; Chen, Kang; Xu, Mngyu; Wang, Kexin; Xu, Ke; He, Yu; Li, Ying;...
ACM Multimedia2023Publications information icon

Two-layer contractive encodings with shortcuts for semi-supervised learning

Peer-reviewed
DOI
10.1007/978-3-642-42054-2_56
Schulz, Hannes; Cho, Kyunghyun; Raiko, Tapani; Behnke, Sven
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...2013Publications information icon

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Peer-reviewed
Open access
DOI
10.1109/tnnls.2023.3277018
Cui, Yawen; Deng, Wanxia; Chen, Haoyu; Liu, Li
IEEE Transactions on Neural Networks and Learning Systems2023Publications information icon

Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning

Peer-reviewed
Open access
DOI
10.3390/app12083943
Zheng, Xiaorou; Jia, Jianxin; Chen, Jinsong; Guo, Shanxin; Sun, Luyi; Zhou, Chan; Wang, Yawei
Applied Sciences2022Publications information icon

Interpolation-based Semi-supervised Learning for Object Detection

Peer-reviewed
Open access
DOI
10.1109/CVPR46437.2021.01143
Jeong, Jisoo; Verma, Vikas; Hyun, Minsung; Kannala, Juho; Kwak, Nojun
IEEE Computer Society Conference on Computer Vision and Pattern Recognition2021Publications information icon

Semi-supervised learning with Ladder networks

Peer-reviewed
Rasmus, Antti; Valpola, Harri; Honkala, Mikko; Berglund, Mathias; Raiko, Tapani
IEEE Conference on Neural Information Processing Systems2015Publications information icon

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation

Peer-reviewed
Open access
DOI
10.1109/tmm.2022.3208743
Cui, Yawen; Deng, Wanxia; Xu, Xin; Liu, Zhen; Liu, Zhong; Pietikainen, Matti; Liu, Li
IEEE transactions on multimedia2023Publications information icon

Fast Semi-Supervised Discriminative Component Analysis

Peer-reviewed
Peltonen, Jaakko; Goldberger, Jacob; Kaski, Samuel
IEEE2007

Semi-Supervised Few-Shot Class-Incremental Learning

Peer-reviewed
Open access
DOI
10.1109/icip42928.2021.9506346
2021

A kernel-learning approach to semi-supervised clustering with relative distance comparisons

Peer-reviewed
2015

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Peer-reviewed
Open access
DOI
10.1145/3581783.3612836
2023

Two-layer contractive encodings with shortcuts for semi-supervised learning

Peer-reviewed
DOI
10.1007/978-3-642-42054-2_56
2013

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Peer-reviewed
Open access
DOI
10.1109/tnnls.2023.3277018
2023

Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning

Peer-reviewed
Open access
DOI
10.3390/app12083943
2022

Interpolation-based Semi-supervised Learning for Object Detection

Peer-reviewed
Open access
DOI
10.1109/CVPR46437.2021.01143
2021

Semi-supervised learning with Ladder networks

Peer-reviewed
2015

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation

Peer-reviewed
Open access
DOI
10.1109/tmm.2022.3208743
2023

Fast Semi-Supervised Discriminative Component Analysis

Peer-reviewed
2007