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semi-supervised learning

2341 papers

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Also known as

SSL SEMISL SEMI-SL

Co-occurring keywords

text classification (6793) domain adaptation (4595) representation learning (6206) data augmentation (3052) semantic segmentation (3186) contrastive learning (4032) pseudo labeling (312) graph neural network (3962) transfer learning (5449) label propagation (185)

Papers

Transformation Invariant Few-Shot Object Detection CVPR 2021
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding EMNLP 2021
Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021
Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation CVPR 2021
CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization EMNLP 2021
DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021
Augmentation Strategies for Learning With Noisy Labels CVPR 2021
Joint Negative and Positive Learning for Noisy Labels CVPR 2021
SwiftNet: Real-Time Video Object Segmentation CVPR 2021
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms CVPR 2021
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks NIPS 2021
Universal Semi-Supervised Learning NIPS 2021
Adversarial Training Helps Transfer Learning via Better Representations NIPS 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation NIPS 2021
Revisiting ResNets: Improved Training and Scaling Strategies NIPS 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NIPS 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation NIPS 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose NIPS 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification NIPS 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation MIDL 2021
Deep kernels with probabilistic embeddings for small-data learning UAI 2021
Graph-based semi-supervised learning through the lens of safety UAI 2021
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection SEMEVAL 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection SEMEVAL 2021