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Metric-based meta-learning techniques have successfully been applied to few-shot classification problems.
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Yongqin Xian, Bernt Schiele, and Zeynep Akata · 2017
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Li Zhang, Tao Xiang, and Shaogang Gong · 2017
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Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville, and Yoshua Bengio · 2018
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Probabilistic model-agnostic meta-learning
Chelsea Finn, Kelvin Xu, and Sergey Levine · 2018
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Bayesian model-agnostic meta-learning
Taesup Kim, Jaesik Yoon, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, and Sungjin Ahn · 2018
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Zero and few shot learning with semantic feature synthesis and competitive learning
Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, and Ji-Rong Wen · 2018
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Imagenet large scale visual recognition challenge
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Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Meta-learning with memory-augmented neural networks
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A generative model for zero shot learning using conditional variational autoencoders
Ashish Mishra, Shiva Krishna Reddy, Anurag Mittal, and Hema A Murthy · 2018
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Tadam: Task dependent adaptive metric for improved few-shot learning
Boris N Oreshkin, Alexandre Lacoste, and Pau Rodriguez · 2018
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Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B Tenenbaum, Hugo Larochelle, and Richard S Zemel · 2018
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Learning to compare: Relation network for few-shot learning
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Low-shot learning from imaginary data
Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, and Bharath Hariharan · 2018
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Zero-shot learning-a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H Lampert, Bernt Schiele, and Zeynep Akata · 2018
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Feature generating networks for zero-shot learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, and Zeynep Akata · 2018
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A generative adversarial approach for zero-shot learning from noisy texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, and Ahmed Elgammal · 2018
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Learning to learn with conditional class dependencies
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, and Stan Matwin · 2019
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Transductive propagation network for few-shot learning
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Generalized zero-and few-shot learning via aligned variational autoencoders
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