TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning
Author:
Affiliation:
1. State University of New York at Buffalo, Buffalo, NY, USA
2. University of Virginia, Charlottesville, VA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403230
Reference40 articles.
1. Marcin Andrychowicz Misha Denil Sergio Gomez Matthew W Hoffman David Pfau Tom Schaul Brendan Shillingford and Nando De Freitas. 2016. Learning to learn by gradient descent by gradient descent. In Advances in neural information processing systems. 3981--3989. Marcin Andrychowicz Misha Denil Sergio Gomez Matthew W Hoffman David Pfau Tom Schaul Brendan Shillingford and Nando De Freitas. 2016. Learning to learn by gradient descent by gradient descent. In Advances in neural information processing systems. 3981--3989.
2. Risk Prediction with Electronic Health Records: A Deep Learning Approach
3. GRAM
4. Sequential Scenario-Specific Meta Learner for Online Recommendation
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