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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NIPS 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors NIPS 2024
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment AAAI 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024
Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data COLING 2024
Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort NAACL 2024
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes NAACL 2024
Revisiting Open-Set Panoptic Segmentation AAAI 2024
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text INTERSPEECH 2024
MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance INTERSPEECH 2024
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms COLING 2024
Trustworthy Machine Learning under Imperfect Data IJCAI 2024
Training-Based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection WACV 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models NIPS 2024
A Survey of Data-Efficient Graph Learning IJCAI 2024
A Coarse-To-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection WACV 2024
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models COLING 2024
Guided Distillation for Semi-Supervised Instance Segmentation WACV 2024
SSVOD: Semi-Supervised Video Object Detection With Sparse Annotations WACV 2024
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment NIPS 2024
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data NIPS 2024
SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection WACV 2024
Training Ensembles With Inliers and Outliers for Semi-Supervised Active Learning WACV 2024
Reverse Knowledge Distillation: Training a Large Model Using a Small One for Retinal Image Matching on Limited Data WACV 2024