Semi-Supervised Learning

Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations AAAI 2023 Prediction with Incomplete Data under Agnostic Mask Distribution Shift IJCAI 2023 Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning ICML 2023 Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification IJCAI 2023 Promises and Pitfalls of Threshold-based Auto-labeling NeurIPS 2023 ProMix: Combating Label Noise via Maximizing Clean Sample Utility IJCAI 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery CVPR 2023 ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning CVPR 2023 Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification ACL 2023 Pruning-Guided Curriculum Learning for Semi-Supervised Semantic Segmentation WACV 2023 Pseudo-label Alignment for Semi-supervised Instance Segmentation ICCV 2023 Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation CVPR 2023 Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images IJCAI 2023 Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition EMNLP 2023 Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers ACL 2023 Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023 Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue ACML 2023 Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data AAAI 2023 Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption ICML 2023 RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension CVPR 2023 Resolution Consistency Training on Time-Frequency Domain for Semi-Supervised Sound Event Detection Interspeech 2023 Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One ICCV 2023 Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition NeurIPS 2023 Rethinking Semi-supervised Learning with Language Models ACL 2023 Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective NeurIPS 2023