transductive inference

Adaptive Manifold for Imbalanced Transductive Few-Shot Learning WACV 2024 A Density-driven Iterative Prototype Optimization for Transductive Few-shot Learning IJCAI 2024 B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory NeurIPS 2024 Learning for Transductive Threshold Calibration in Open-World Recognition CVPR 2024 Transductive Zero-Shot and Few-Shot CLIP CVPR 2024 Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023 Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection Interspeech 2023 Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models EMNLP 2023 Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NeurIPS 2022 Cross-Camera Convolutional Color Constancy ICCV 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning ICCV 2021 Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks NeurIPS 2021 Parameterless Transductive Feature Re-representation for Few-Shot Learning ICML 2021 Realistic evaluation of transductive few-shot learning NeurIPS 2021 Information Maximization for Few-Shot Learning NeurIPS 2020 Laplacian Regularized Few-Shot Learning ICML 2020 Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction NeurIPS 2020 Cross Attention Network for Few-shot Classification NeurIPS 2019 Edge-Labeling Graph Neural Network for Few-Shot Learning CVPR 2019 LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING ICLR 2019 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019 Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs CVPR 2018 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 Distribution Matching for Transduction NeurIPS 2009