transductive learning

Cross-Prompt Automated Essay Scoring of Multiple Traits: Making Sense of the State of the Art ACL 2026 Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification UAI 2026 Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? AAAI 2026 Posterior Label Smoothing for Node Classification AAAI 2026 Refined Risk Bounds for Unbounded Losses via Transductive Priors JMLR 2026 Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026 TIM++: Transductive Information Maximization for Few-Shot CLIP AAAI 2026 Accurate and Scalable Graph Neural Networks via Message Invariance ICLR 2025 A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning ICML 2025 Generate, Transduct, Adapt: Iterative Transduction with VLMs ICCV 2025 Is Transductive Learning Equivalent to PAC Learning? ALT 2025 Local Regularizers Are Not Transductive Learners COLT 2025 Realistic Test-Time Adaptation of Vision-Language Models CVPR 2025 Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation ICLR 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification ICLR 2025 Towards Improved Risk Bounds for Transductive Learning IJCAI 2025 UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning CVPR 2025 Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024 A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024 Article Classification with Graph Neural Networks and Multigraphs COLING 2024 Boosting Vision-Language Models with Transduction NeurIPS 2024 Conformal Inductive Graph Neural Networks ICLR 2024 Contrastive Credibility Propagation for Reliable Semi-supervised Learning AAAI 2024 Document Set Expansion with Positive-Unlabeled Learning Using Intractable Density Estimation COLING 2024 Information-Theoretic Generalization Bounds for Transductive Learning and its Applications JMLR 2024