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awesome-few-shot-meta-learning

awesome few shot / meta learning papers
https://github.com/johnnyasd12/awesome-few-shot-meta-learning

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Few-shot Learning with Multi-scale Self-supervision. arXiv'2001 9 Matching Networks for One Shot Learning. NIPS 2016 7 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. ICML 2017 6 Prototypical Networks for Few-shot Learning. NIPS 2017 5 Learning to Compare: Relation Network for Few-Shot Learning. CVPR 2018 5 Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning. ICLR 2019 4 Meta-Transfer Learning for Few-Shot Learning. CVPR 2019 4 Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR 2018 4 A Simple Neural Attentive Meta-Learner. ICLR 2018 4 Domain adaption in one-shot learning. ECML-PKDD 2018 3 Meta-Learning with Latent Embedding Optimization. ICLR 2019 3 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019 3 Learning Embedding Adaptation for Few-Shot Learning. arXiv'1812 3 A Closer Look at Few-shot Classification. ICLR 2019 2 Few-Shot Learning as Domain Adaptation: Algorithm and Analysis. ICML 2020 2 Uncategorized 2 Delta-encoder: an effective sample synthesis method for few-shot object recognition. NIPS 2018 2 One Shot Domain Adaptation for Person Re-Identification. ICCV 2019 Oral 2 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019 2 LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. ICML 2019 2 Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. ICLR 2018 2 TADAM: Task dependent adaptive metric for improved few-shot learning. NIPS 2018 2 Subspace Networks for Few-shot Classification. arXiv'1905.13613 1 Meta-learning with memory-augmented neural networks. ICML 2016 1 Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning. CVPR 2019 1 NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018 1 TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. ICML 2019 1 Low-shot learning with large-scale diffusion. CVPR 2018 1 Deep Meta Metric Learning. ICCV 2019 1 Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. ICCV 2019 1 Domain-Adaptive Few-Shot Learning. arXiv'2003 1 A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. arXiv'1912 1 Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CVPR 2019 1 Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019 1 Cross-Domain Few-Shot Classification. ICLR 2020 1 Meta-Learning with Differentiable Convex Optimization. CVPR 2019 (Oral) 1 Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CVPR 2019 1 Meta-Learning Probabilistic Inference for Prediction. ICLR 2019 1 Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020 1 Task Agnostic Meta-Learning for Few-Shot Learning. CVPR 2019 1 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CVPR 2019 1