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awesome-few-shot-meta-learning
awesome few shot / meta learning papers
https://github.com/johnnyasd12/awesome-few-shot-meta-learning
Last synced: 4 days ago
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Uncategorized
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Uncategorized
- awesome meta learning
- HackMD - few-shot-meta-learning/blob/master/README.md)
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Matching Networks for One Shot Learning. NIPS 2016
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Prototypical Networks for Few-shot Learning. NIPS 2017
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TADAM: Task dependent adaptive metric for improved few-shot learning. NIPS 2018
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Learning to Compare: Relation Network for Few-Shot Learning. CVPR 2018
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. ICML 2017
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Meta-Learning with Latent Embedding Optimization. ICLR 2019
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A Simple Neural Attentive Meta-Learner. ICLR 2018
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Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. ICLR 2018
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Image Deformation Meta-Networks for One-Shot Learning. CVPR 2019
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LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. ICML 2019
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Meta-Learning with Differentiable Convex Optimization. CVPR 2019 (Oral)
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Domain-Adaptive Few-Shot Learning. arXiv'2003
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A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning. arXiv'1912
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Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020
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Cross-Domain Few-Shot Classification. ICLR 2020
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Learning Embedding Adaptation for Few-Shot Learning. arXiv'1812
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reviewer comment at [OpenReview](https://openreview.net/forum?id=ByGOuo0cYm)
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Domain adaption in one-shot learning. ECML-PKDD 2018
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reviewer comment at [OpenReview](https://openreview.net/forum?id=ByGOuo0cYm)
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A Closer Look at Few-shot Classification. ICLR 2019
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Abstract
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Low-shot learning with large-scale diffusion. CVPR 2018
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Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR 2018
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Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning. ICLR 2019
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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019
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Abstract
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Meta-Learning Probabilistic Inference for Prediction. ICLR 2019
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Meta-Transfer Learning for Few-Shot Learning. CVPR 2019
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[CVPR19-Few-shot - 知乎](https://zhuanlan.zhihu.com/p/67402889)
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Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CVPR 2019
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[CVPR19-Few-shot - 知乎](https://zhuanlan.zhihu.com/p/67402889)
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Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CVPR 2019
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning. ICML 2019
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Deep Meta Metric Learning. ICCV 2019
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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One Shot Domain Adaptation for Person Re-Identification. ICCV 2019 Oral
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning. CVPR 2019
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Subspace Networks for Few-shot Classification. arXiv'1905.13613
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Meta-learning with memory-augmented neural networks. ICML 2016
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Delta-encoder: an effective sample synthesis method for few-shot object recognition. NIPS 2018
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Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. ICCV 2019
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Few-shot Learning with Multi-scale Self-supervision. arXiv'2001
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Few-Shot Learning as Domain Adaptation: Algorithm and Analysis. ICML 2020
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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018
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[few-shot 知乎](https://zhuanlan.zhihu.com/p/58298920)
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Task Agnostic Meta-Learning for Few-Shot Learning. CVPR 2019
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[CVPR19-Few-shot - 知乎](https://zhuanlan.zhihu.com/p/67402889)
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Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. CVPR 2019
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想讀
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Programming Languages
Categories
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
Sub Categories
Keywords
few-shot-learning
13
meta-learning
10
pytorch
6
few-shot
5
deep-learning
3
one-shot-learning
3
tiered-imagenet
2
reinforcement-learning
2
domain-adaptation
2
computer-vision
2
metalearning
2
zero-shot-learning
2
machine-learning
2
python
2
cnn
2
metric-learning
2
tensorflow
2
person-reidentification
2
gluon
1
snail
1
image-to-class
1
local-descriptors
1
baseline
1
prototypical-networks
1
resnet-50
1
omniglot
1
nips-2017
1
vehicle-reidentification
1
relation-extraction
1
ai2thor-environment
1
self-adaptive
1
information-retrieval
1
learning-to-learn
1
neural-network
1
pseudo-relevance-feedback
1
generalized-zero-shot-learning
1
transductive-few-shot-learning
1
label-propagation
1
vae
1
dataset
1
slim
1
variational-autoencoder
1
fewshot-cifar100
1
cvpr2020
1
mini-imagenet
1
iclr2020
1
domain-generalization
1
image-classification
1
few-shot-recognition
1
cvpr2019
1