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1703.05175
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Prototypical Networks for Few-shot Learning
15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
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Papers citing
"Prototypical Networks for Few-shot Learning"
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Title
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Meta-Learning: A Survey
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Task-Embedded Control Networks for Few-Shot Imitation Learning
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0
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Unsupervised Learning via Meta-Learning
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One-Click Annotation with Guided Hierarchical Object Detection
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A Meta-Learning Approach for Custom Model Training
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Distribution Networks for Open Set Learning
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Multi-Source Domain Adaptation with Mixture of Experts
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Transfer Learning for Estimating Causal Effects using Neural Networks
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Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
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Improving Generalization via Scalable Neighborhood Component Analysis
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Small Sample Learning in Big Data Era
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Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors
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Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
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Few Shot Learning with Simplex
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Meta-Learning with Latent Embedding Optimization
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