conftrace_

transductive inference

24 papers

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Co-occurring keywords

few-shot learning (3398) transductive learning (118) graph neural network (3962) semi-supervised learning (2341) prototype learning (405) metric learning (1190) dirichlet distribution (46) node classification (482) mutual information (724) class imbalance (555)

Papers

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