Semi-Supervised Learning

CIC-IPN at SemEval-2025 Task 11: Transformer-Based Approach to Multi-Class Emotion Detection SemEval 2025 Classifying Textual Genre in Historical Magazines (1875-1990) NAACL 2025 CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning CVPR 2025 CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework AAAI 2025 Combating Semantic Contamination in Learning with Label Noise AAAI 2025 COME: Test-time Adaption by Conservatively Minimizing Entropy ICLR 2025 CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution ICLR 2025 Conformal Prediction for Partial Label Learning AAAI 2025 ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025 Consistency-aware Self-Training for Iterative-based Stereo Matching CVPR 2025 Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels AAAI 2025 Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation WACV 2025 Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025 CrackStructures and CrackEnsembles: The Power of Multi-View for 2.5D Crack Detection WACV 2025 CRISP: Object Pose and Shape Estimation with Test-Time Adaptation CVPR 2025 Cross Image Feature Perturbation with Pseudo Label Fusion for Semi-Supervised Medical Image Segmentation WACV 2025 CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor Segmentation CVPR 2025 CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 Data Augmentation for Instruction Following Policies via Trajectory Segmentation AAAI 2025 Decoupled Subgraph Federated Learning ICLR 2025 Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off WACV 2025 Describe Anything: Detailed Localized Image and Video Captioning ICCV 2025 Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine CVPR 2025 DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels CVPR 2025 Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction ICCV 2025