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Exploiting known semantic relationships between fine-grained tasks is critical to the success of recent model agnostic approaches.
Convolutional deep belief networks on cifar-10
Alex Krizhevsky and Geoff Hinton · 2010
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The caltech-ucsd birds-200-2011 dataset
Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie · 2011
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Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, and Nando de Freitas · 2016
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Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Cycada: Cycle-consistent adversarial domain adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, and Trevor Darrell · 2017
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Learning to generalize: Meta-learning for domain generalization
Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy M. Hospedales · 2017
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Interpretable and pedagogical examples
Smitha Milli, Pieter Abbeel, and Igor Mordatch · 2017
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An overview of multi-task learning in deep neural networks
Sebastian Ruder · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
Cited alongside, same era.
Unifying multi-domain multitask learning: Tensor and neural network perspectives
Yongxin Yang and Timothy M Hospedales · 2017
Cited alongside, same era.
A DIRT-t approach to unsupervised domain adaptation
Rui Shu, Hung Bui, Hirokazu Narui, and Stefano Ermon · 2018
Cited alongside, same era.
The inaturalist species classification and detection dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie · 2018
Cited alongside, same era.
Taskonomy: Disentangling task transfer learning
Task2vec: Task embedding for meta-learning
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, and Pietro Perona · 2019
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The information complexity of learning tasks, their structure and their distance
Alessandro Achille, Giovanni Paolini, Glen Mbeng, and Stefano Soatto · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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The imaterialist fashion attribute dataset
Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Serge Belongie, Hartwig Adam, and Matthew Scott · 2019
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Machine learning on biomedical images: Interactive learning, transfer learning, class imbalance, and beyond
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Amir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, and Silvio Savarese · 2018
Cited alongside, same era.
Adversarial multiple source domain adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P Costeira, and Geoffrey J Gordon · 2018
Cited alongside, same era.
Naimul Mefraz Khan, Nabila Abraham, Marcia Hon, and Ling Guan · 2019
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Self-supervised generalisation with meta auxiliary learning
Shikun Liu, Andrew J Davison, and Edward Johns · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le · 2019
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