Semi-Supervised Learning

Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees UAI 2025 Two Losses, One Goal: Balancing Conflict Gradients for Semi-supervised Semantic Segmentation ICCV 2025 Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025 Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition AAAI 2025 Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation WACV 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery AAAI 2025 Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization CVPR 2025 Unsupervised, Semi-Supervised and LLM-Based Morphological Segmentation for Bribri NAACL 2025 VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy AAAI 2025 Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data CVPR 2025 When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation ICCV 2025 Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025 ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions ACL 2024 A Coarse-To-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection WACV 2024 Active Deep Multi-view Clustering IJCAI 2024 Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery NAACL 2024 Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation CVPR 2024 Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning AAAI 2024 Adaptive Manifold for Imbalanced Transductive Few-Shot Learning WACV 2024 A Dual-View Approach to Classifying Radiology Reports by Co-Training COLING 2024 Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms COLING 2024 Advancing Test-Time Adaptation in Wild Acoustic Test Settings EMNLP 2024 Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection WACV 2024 AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning IJCAI 2024 AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation CVPR 2024