Semi-Supervised Learning

A Pseudo-Label Optimization Method Based on Polar Coordinate Modeling and Prior Constraints AAAI 2026 Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection AAAI 2026 Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation AAAI 2026 BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance AAAI 2026 Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026 Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026 Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation WACV 2026 Collaborative Dual Representations for Semi-Supervised Partial Label Learning AAAI 2026 Conditional Distribution Learning for Graph Classification AAAI 2026 Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning AAAI 2026 CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation WACV 2026 D^3FER: Dual Channel and Dual Branch Network for Robust Facial Expression Recognition under Dual Challenges CVPR 2026 DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation AAAI 2026 DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning AAAI 2026 Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations AAAI 2026 Discrete Structure Augmentation for Graph Convolutional Networks AAAI 2026 DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation AAAI 2026 Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning WACV 2026 Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model AAAI 2026 Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning AAAI 2026 Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026 Fake News Detection Strategies under Dataset Bias: Using Large-scale Coarse-grained Labels EACL 2026 Foundation-Adaptive Integrated Refinement for Generalized Category Discovery AAAI 2026 GaussianMatch: Semi-Supervised Regression with Pseudo-Label Filtering via Multi-View Gaussian Consistency CVPR 2026