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Fsake: Few-Shot Graph Learning Via Adaptive Neighbor Class Knowledge Embedding

https://doi.org/10.2139/ssrn.4862095

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inferredcites →https://doi.org/10.1007/978-3-030-58574-7_8openalex-extracted

Embedding Propagation: Smoother Manifold for Few-Shot Classification

inferredcites →https://doi.org/10.1007/978-3-031-20044-1_26openalex-extracted

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

inferredcites →https://doi.org/10.1016/j.eswa.2023.122173openalex-extracted

SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning

inferredcites →https://doi.org/10.1016/j.ins.2022.12.067openalex-extracted

Multi-spectral template matching based object detection in a few-shot learning manner

inferredcites →https://doi.org/10.1016/j.ins.2023.119012openalex-extracted

Hierarchical few-shot learning with feature fusion driven by data and knowledge

inferredcites →https://doi.org/10.1016/j.ins.2023.119795openalex-extracted

Few-shot remaining useful life prediction based on meta-learning with deep sparse kernel network

inferredcites →https://doi.org/10.1016/j.ins.2023.119852openalex-extracted

A two-stage denoising framework for zero-shot learning with noisy labels

inferredcites →https://doi.org/10.1016/j.ins.2023.120010openalex-extracted

Few-shot regression with differentiable reference model

inferredcites →https://doi.org/10.1016/j.ins.2024.120366openalex-extracted

A preliminary study on few-shot knowledge reasoning mechanism based on three-way partial order structure

inferredcites →https://doi.org/10.1016/j.neucom.2021.09.070openalex-extracted

Discriminative learning of imaginary data for few-shot classification

inferredcites →https://doi.org/10.1016/j.patcog.2022.108820openalex-extracted

Multi-granularity episodic contrastive learning for few-shot learning

inferredcites →https://doi.org/10.1016/j.patcog.2022.109170openalex-extracted

SAPENet: Self-Attention based Prototype Enhancement Network for Few-shot Learning

inferredcites →https://doi.org/10.1016/j.patcog.2023.109480openalex-extracted

A survey on machine learning from few samples

inferredcites →https://doi.org/10.1016/j.patcog.2023.109702openalex-extracted

Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification

inferredcites →https://doi.org/10.1016/j.patcog.2023.109904openalex-extracted

Few-shot classification guided by generalization error bound

inferredcites →https://doi.org/10.1016/j.patcog.2024.110264openalex-extracted

Edge-labeling based modified gated graph network for few-shot learning

inferredcites →https://doi.org/10.1109/cvpr.2018.00131openalex-extracted

Learning to Compare: Relation Network for Few-Shot Learning

inferredcites →https://doi.org/10.1109/cvpr.2019.00010openalex-extracted

Edge-Labeling Graph Neural Network for Few-Shot Learning

inferredcites →https://doi.org/10.1109/cvpr.2019.00743openalex-extracted

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01340openalex-extracted

DPGN: Distribution Propagation Graph Network for Few-Shot Learning

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00236openalex-extracted

Mutual CRF-GNN for Few-shot Learning

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00653openalex-extracted

ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning

inferredcites →https://doi.org/10.1109/cvpr52688.2022.00781openalex-extracted

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

inferredcites →https://doi.org/10.1109/iccv48922.2021.00870openalex-extracted

Relational Embedding for Few-Shot Classification

inferredcites →https://doi.org/10.1109/icmew.2019.00041openalex-extracted

Self-Attention Relation Network for Few-Shot Learning

inferredcites →https://doi.org/10.1109/tcsvt.2021.3058098openalex-extracted

Hierarchical Graph Neural Networks for Few-Shot Learning

inferredcites →https://doi.org/10.1109/tmm.2022.3233442openalex-extracted

Graph Neural Networks With Triple Attention for Few-Shot Learning

inferredcites →https://doi.org/10.1109/tnnls.2021.3082928openalex-extracted

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning

inferredcites →https://doi.org/10.1109/tnnls.2022.3172879openalex-extracted

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges

inferredcites →https://doi.org/10.1109/tnnls.2022.3178849openalex-extracted

Graph Few-Shot Learning via Restructuring Task Graph

inferredcites →https://doi.org/10.1109/tnnls.2024.3380833openalex-extracted

CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning

inferredcites →https://doi.org/10.1109/tpami.2021.3107164openalex-extracted

Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification

inferredcites →https://doi.org/10.1109/tpami.2023.3312125openalex-extracted

LibFewShot: A Comprehensive Library for Few-Shot Learning

inferredcites →https://doi.org/10.1109/wacv56688.2023.00250openalex-extracted

HyperShot: Few-Shot Learning by Kernel HyperNetworks

inferredcites →https://doi.org/10.1609/aaai.v36i3.20226openalex-extracted

Hybrid Graph Neural Networks for Few-Shot Learning

inferredcites →https://doi.org/10.2139/ssrn.4611614openalex-extracted

Few-Shot Object Detection: Research Advances and Challenges

inferredcites →https://doi.org/10.24963/ijcai.2020/112openalex-extracted

Transductive Relation-Propagation Network for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1606.04080openalex-extracted

Matching Networks for One Shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-extracted

Semi-Supervised Classification with Graph Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-extracted

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-extracted

Prototypical Networks for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1711.04043openalex-extracted

Few-Shot Learning with Graph Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1803.00676openalex-extracted

Meta-Learning for Semi-Supervised Few-Shot Classification

inferredcites →https://doi.org/10.48550/arxiv.1805.08136openalex-extracted

Meta-learning with differentiable closed-form solvers

inferredcites →https://doi.org/10.48550/arxiv.1805.10002openalex-extracted

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1807.05960openalex-extracted

Meta-Learning with Latent Embedding Optimization

inferredcites →https://doi.org/10.48550/arxiv.1909.09157openalex-extracted

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

inferredcites →https://doi.org/10.57702/i9oeewf6openalex-extracted

Caltech-UCSD Birds-200-2011 Dataset

inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

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