Semi-supervised Learning Publications

Publications in Semi-supervised Learning

Explore the most influential research papers and scholarly works that have shaped Semi-supervised Learning. Use the concept filter below to focus on a specific sub-area of research.

Semi-supervised Learning

9.4K

Publications

707.7K

Citations

Showing yearly statistics from 2000-2026.

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	Year	Citations
Object Detection with Discriminatively Trained Part-Based Models Pedro F. Felzenszwalb, Ross Girshick, David McAllester, IEEE Transactions on Pattern Analysis and Machine Intelligence Multiple Instance LearningObject Detection SystemMachine LearningEngineeringLatent Svm	2009	10K
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf, Max Welling arXiv (Cornell University) EngineeringMachine LearningNetwork AnalysisGraph Signal ProcessingGraph Processing	2016	8.1K
A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, arXiv (Cornell University) Early VisionConvolutional Neural NetworkMachine VisionMachine LearningData Science	2020	7.3K
A unified architecture for natural language processing Ronan Collobert, Jason Weston EngineeringMachine LearningCross-lingual RepresentationMultilingual PretrainingCorpus Linguistics	2008	5.2K
Distance Metric Learning for Large Margin Nearest Neighbor Classification Kilian Q. Weinberger, Lawrence K. Saul Journal of Machine Learning Research EngineeringMachine LearningSupport Vector MachineClassification MethodImage Analysis	2009	4.3K
Unsupervised Feature Learning via Non-parametric Instance Discrimination Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Few-shot LearningNeural Net ClassifiersMultiple Instance LearningEngineeringMachine Learning	2018	3.5K
ML-KNN: A lazy learning approach to multi-label learning Min-Ling Zhang, Zhi‐Hua Zhou Pattern Recognition Natural Language ProcessingEngineeringMachine LearningData ScienceData Mining	2007	3.5K
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill, Florian Strub, Florent Altché, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningConvolutional Neural NetworkEngineeringMachine Learning	2020	3.4K
Categorical Reparameterization with Gumbel-Softmax Eric Jang, Shixiang Gu, Ben Poole arXiv (Cornell University) Natural Language ProcessingStructured PredictionEfficient Gradient EstimatorMachine LearningData Science	2016	3.2K
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krähenbühl, Vladlen Koltun arXiv (Cornell University) Geometric LearningScene AnalysisEngineeringMachine LearningDense Connectivity	2012	3K
A discriminatively trained, multiscale, deformable part model Pedro F. Felzenszwalb, David McAllester, Deva Ramanan Structured PredictionEngineeringMachine LearningDeformable Part ModelPascal Challenge	2008	2.9K
Structural Deep Network Embedding Daixin Wang, Peng Cui, Wenwu Zhu Geometric LearningCitation NetworkNetwork ScienceMachine LearningData Science	2016	2.8K

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