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semi-supervised learning

2331 papers

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Also known as

SSL SEMISL SEMI-SL

Co-occurring keywords

text classification (6776) domain adaptation (4578) representation learning (6174) data augmentation (3037) semantic segmentation (3179) contrastive learning (3979) pseudo labeling (312) graph neural network (3945) transfer learning (5442) label propagation (185)

Papers

Multi-task Learning with Labeled and Unlabeled Tasks ICML 2017
Bayesian GAN NIPS 2017
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations EACL 2017
Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017
SEVEN: Deep Semi-supervised Verification Networks IJCAI 2017
How Unlabeled Web Videos Help Complex Event Detection? IJCAI 2017
Positive unlabeled learning via wrapper-based adaptive sampling IJCAI 2017
Semi-Supervised Deep Hashing with a Bipartite Graph IJCAI 2017
Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources ACML 2017
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction SEMEVAL 2017
Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017
XJNLP at SemEval-2017 Task 12: Clinical temporal information ex-traction with a Hybrid Model SEMEVAL 2017
Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017
Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation CVPR 2017
Semi-supervised Word Sense Disambiguation with Neural Models COLING 2016
Multi-step learning and underlying structure in statistical models NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Semi-Supervised and Cross-Lingual Knowledge Transfer Learnings for DNN Hybrid Acoustic Models Under Low-Resource Conditions INTERSPEECH 2016
Robust Text Classification for Sparsely Labelled Data Using Multi-level Embeddings COLING 2016
Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016
Asymptotic behavior of \ell_p-based Laplacian regularization in semi-supervised learning COLT 2016
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016
A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding INTERSPEECH 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks JMLR 2016
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NIPS 2016