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In meta-learning, the knowledge learned from previous tasks is transferred to new ones, but this transfer only works if tasks are related.
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Stefano Soatto, and Pietro Perona. 2019 · 1902
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Hierarchically Structured Meta-learning
Huaxiu Yao, Ying Wei, Junzhou Huang, and Zhenhui Li. 2019 · 1905
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Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou, Keyi Yu, and Antonios Anastasopoulos. 2019 · 1908
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Online Hierarchical Clustering Approximations
Aditya Krishna Menon, Anand Rajagopalan, Baris Sumengen, Gui Citovsky, Qin Cao, and Sanjiv Kumar. 2019 · 1909
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Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan Turaga, and Andreas Spanias. 2020 · 1911
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Zero-Shot Cross-Lingual Transfer with Meta Learning
Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, and Isabelle Augenstein. 2020 · 2003
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Meta-Learning in Neural Networks: A Survey
Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey. 2020 · 2004
Cited alongside, same era.
Evolved structure of language shows lineage-specific trends in word-order universals
Michael Dunn, Simon J. Greenhill, Stephen C. Levinson, and Russell D. Gray. 2011 · 2011
Cited alongside, same era.
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017 · 2017
Cited alongside, same era.
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder. 2017 · 2017
Cited alongside, same era.
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen, Kyunghyun Cho, and Victor O. K. Li. 2018 · 2018
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Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Malik, and Silvio Savarese. 2018 · 2018
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A Survey on Multi-Task Learning
Yu Zhang and Qiang Yang. 2018 · 2018
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Reconciling meta-learning and continual learning with online mixtures of tasks
Ghassen Jerfel, Thomas L Griffiths, Erin Grant, and Katherine Heller. 2019 · 2019
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Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
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Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk, and Veselin Stoyanov. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, and Yi Yang. 2019 · 2019
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Discriminative Transfer Learning with Tree-based Priors
Nitish Srivastava and Russ R Salakhutdinov. 2013 · 2094
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