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semi-supervised learning

2331 papers

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Also known as

UDA FSSL SS SSGL SSL SEMISL SSSS SSOD SEMI-SL S3VM SSCL

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

Exact Recovery of Mangled Clusters with Same-Cluster Queries NIPS 2020
Text Style Transfer via Learning Style Instance Supported Latent Space IJCAI 2020
Semi-supervised Sequential Generative Models UAI 2020
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NIPS 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta-Learning ACML 2020
Mutual information deep regularization for semi-supervised segmentation MIDL 2020
Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning MIDL 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering NIPS 2020
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement NIPS 2020
Generalized Product Quantization Network for Semi-Supervised Image Retrieval CVPR 2020
One-bit Supervision for Image Classification NIPS 2020
Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension IJCAI 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NIPS 2020
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation NIPS 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection IJCAI 2020
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation IJCAI 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation ACL 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning NIPS 2020
Auxiliary Task Reweighting for Minimum-data Learning NIPS 2020
Rethinking Pre-training and Self-training NIPS 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence NIPS 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NIPS 2020
Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods JMLR 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020