Skip to main content
Context Awesome

awesome-few-shot-meta-learning

github.com/johnnyasd12/awesome-few-shot-meta-learning ↗

awesome few shot / meta learning papers

53
GitHub Stars
85
Curated Resources
39
Categories
3 hours ago
Last Refreshed
tags: fewshot learning, awesome meta learning, papersMatching Networks for One Shot Learning. NIPS 2016Prototypical Networks for Few-shot Learning. NIPS 2017TADAM: Task dependent adaptive metric for improved few-shot learning. NIPS 2018Learning to Compare: Relation Network for Few-Shot Learning. CVPR 2018Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. ICML 2017Meta-Learning with Latent Embedding Optimization. ICLR 2019Meta-learning with memory-augmented neural networks. ICML 2016A Simple Neural Attentive Meta-Learner. ICLR 2018Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. ICLR 2018Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. ICML 2019Meta-Learning with Differentiable Convex Optimization. CVPR 2019 (Oral)Domain-Adaptive Few-Shot Learning. arXiv'2003A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. arXiv'1912Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020Few-Shot Learning as Domain Adaptation: Algorithm and Analysis. ICML 2020Cross-Domain Few-Shot Classification. ICLR 2020Learning Embedding Adaptation for Few-Shot Learning. arXiv'1812Domain adaption in one-shot learning. ECML-PKDD 2018A Closer Look at Few-shot Classification. ICLR 2019Low-shot learning with large-scale diffusion. CVPR 2018Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR 2018Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning. ICLR 2019Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019Semantic Feature Augmentation in Few-shot Learning. ECCV 2018NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018Meta-Learning Probabilistic Inference for Prediction. ICLR 2019Meta-Transfer Learning for Few-Shot Learning. CVPR 2019Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CVPR 2019Task Agnostic Meta-Learning for Few-Shot Learning. CVPR 2019Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CVPR 2019Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CVPR 2019TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. ICML 2019Deep Meta Metric Learning. ICCV 2019One Shot Domain Adaptation for Person Re-Identification. ICCV 2019 OralHybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning. CVPR 2019Few-shot Learning with Multi-scale Self-supervision. arXiv'2001

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me few-shot learning with multi-scale self-supervision. arxiv'2001 resources from awesome-few-shot-meta-learning"

Installation instructions →

What's inside

Few-shot Learning with Multi-scale Self-supervision. arXiv'2001

tags: fewshot learning, awesome meta learning, papers

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019

TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. ICML 2019

Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CVPR 2019

Prototypical Networks for Few-shot Learning. NIPS 2017

Showing a sample of 85 resources. View the full list on GitHub →