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Few-shot learning remains challenging for meta-learning that learns a learning algorithm (meta-learner) from many related tasks.
Evolutionary principles in self-referential learning
Schmidhuber, Jurgen · 1987
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Psychological studies of explanation—based learning
Ahn, Woo-Kyoung and Brewer, William F · 1993
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Multitask learning
Caruana, Rich · 1998
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Learning multiple tasks with kernel methods
Evgeniou, Theodoros, Micchelli, Charles A., and Pontil, Massimiliano · 2005
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Object classification from a single example utilizing class relevance metrics
Fink, Michael · 2005
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One-shot learning of object categories
Li, Fei-Fei, Fergus, Robert, and Perona, Pietro · 2006
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Multi-task feature learning
Argyriou, Andreas, Evgeniou, Theodoros, and Pontil, Massimiliano · 2007
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Caltech-256 object category dataset
Griffin, Gregory, Holub, Alex, and Perona, Pietro · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
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Is that you? metric learning approaches for face identification
Guillaumin, M., Verbeek, J., and Schmid, C · 2009
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An accelerated gradient method for trace norm minimization
Ji, Shuiwang and Ye, Jieping · 2009
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Learning multiple layers of features from tiny images
Krizhevsky, Alex · 2009
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A survey on transfer learning
Pan, Sinno Jialin and Yang, Qiang · 2010
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One shot learning of simple visual concepts
Lake, Brenden M., Salakhutdinov, Ruslan, Gross, Jason, and Tenenbaum, Joshua B · 2011
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The Caltech-UCSD Birds-200-2011 Dataset
Wah, C., Branson, S., Welinder, P., Perona, P., and Belongie, S · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
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One-shot learning with a hierarchical nonparametric bayesian model
Salakhutdinov, Ruslan, Tenenbaum, Joshua, and Torralba, Antonio · 2012
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Lifelong machine learning systems: Beyond learning algorithms
Silver, Daniel L, Yang, Qiang, and Li, Lianghao · 2013
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DeCAF: A deep convolutional activation feature for generic visual recognition
Donahue, Jeff, Jia, Yangqing, Vinyals, Oriol, Hoffman, Judy, Zhang, Ning, Tzeng, Eric, and Darrell, Trevor · 2014
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Adam: A method for stochastic optimization
Kingma, Diederik and Ba, Jimmy · 2014
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Cnn features off-the-shelf: an astounding baseline for recognition
Razavian, Ali Sharif, Azizpour, Hossein, Sullivan, Josephine, and Carlsson, Stefan · 2014
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RL 2 : Fast reinforcement learning via slow reinforcement learning
Duan, Yan, Schulman, John, Chen, Xi, Bartlett, Peter L, Sutskever, Ilya, and Abbeel, Pieter · 2016
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Low-shot visual object recognition
Hariharan, Bharath and Girshick, Ross B · 2016
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Deep residual learning for image recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2016
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Meta-learning with memory-augmented neural networks
Santoro, Adam, Bartunov, Sergey, Botvinick, Matthew, Wierstra, Daan, and Lillicrap, Timothy · 2016
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Matching networks for one shot learning
Vinyals, Oriol, Blundell, Charles, Lillicrap, Tim, and Wierstra, Daan · 2016
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Simonyan, Karen and Zisserman, Andrew · 2014
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How transferable are features in deep neural networks?
Yosinski, Jason, Clune, Jeff, Bengio, Yoshua, and Lipson, Hod · 2014
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Visualizing and understanding convolutional networks
Zeiler, Matthew D and Fergus, Rob · 2014
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Girshick, Ross · 2015
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Siamese neural networks for one-shot image recognition
Koch, Gregory · 2015
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Human-level concept learning through probabilistic program induction
Lake, Brenden M, Salakhutdinov, Ruslan, and Tenenbaum, Joshua B · 2015
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Facenet: A unified embedding for face recognition and clustering
Schroff, Florian, Kalenichenko, Dmitry, and Philbin, James · 2015
Cited alongside, same era.
Wang, Jane X, Kurth-Nelson, Zeb, Tirumala, Dhruva, Soyer, Hubert, Leibo, Joel Z, Munos, Remi, Blundell, Charles, Kumaran, Dharshan, and Botvinick, Matt · 2016
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Model-agnostic meta-learning for fast adaptation of deep networks
Finn, Chelsea, Abbeel, Pieter, and Levine, Sergey · 2017
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Learning to remember rare events
Kaiser, Łukasz, Nachum, Ofir, Roy, Aurko, and Bengio, Samy · 2017
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Meta-SGD: Learning to Learn Quickly for Few Shot Learning
Li, Zhenguo, Zhou, Fengwei, Chen, Fei, and Li, Hang · 2017
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Optimization as a model for few-shot learning
Ravi, Sachin and Larochelle, Hugo · 2017
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Prototypical networks for few-shot learning
Snell, Jake, Swersky, Kevin, and Zemel, Richard · 2017
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A deeper look at dataset bias
Tommasi, Tatiana, Patricia, Novi, Caputo, Barbara, and Tuytelaars, Tinne · 2017
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Few-shot object recognition from machine-labeled web images
Xu, Zhongwen, Zhu, Linchao, and Yang, Yi · 2017
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Meta learning shared hierarchies
Kevin Frans, Jonathan Ho, Xi Chen Pieter Abbeel John Schulman · 2018
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A simple neural attentive meta-learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen Pieter Abbeel · 2018
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Meta-tracker: Fast and robust online adaptation for visual object trackers
Park, Eunbyung and Berg, Alexander C · 2018
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