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Few-shot Learning
ServiceNow Research
Few-shot Learning
TADAM: Task dependent adaptive metric for improved few-shot learning
Few-shot learning has become essential for producing models that generalize from few examples. In this work, we identify that metric …
Boris N. Oreshkin
,
Pau Rodriguez
,
Alexandre Lacoste
Conference on Neural Information Processing Systems (NeurIPS), 2018.
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Synbols: Probing Learning Algorithms with Synthetic Datasets
Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing …
Alexandre Lacoste
,
Pau Rodriguez
,
Frédéric Branchaud-Charron
,
Parmida Atighhehchian
,
Massimo Caccia
,
Issam H. Laradji
,
Alexandre Drouin
,
Matt Craddock
,
Laurent Charlin
,
David Vazquez
Montreal AI Symposium (MAIS), 2018.
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