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26 Results
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Poster
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Mon 18:30 |
Few-Shot Learning Through an Information Retrieval Lens Eleni Triantafillou · Richard Zemel · Raquel Urtasun |
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Poster
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Mon 18:30 |
Prototypical Networks for Few-shot Learning Jake Snell · Kevin Swersky · Richard Zemel |
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Poster
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Mon 18:30 |
A Meta-Learning Perspective on Cold-Start Recommendations for Items Manasi Vartak · Arvind Thiagarajan · Conrado Miranda · Jeshua Bratman · Hugo Larochelle |
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Poster
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Mon 18:30 |
One-Shot Imitation Learning Yan Duan · Marcin Andrychowicz · Bradly Stadie · OpenAI Jonathan Ho · Jonas Schneider · Ilya Sutskever · Pieter Abbeel · Wojciech Zaremba |
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Poster
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Mon 18:30 |
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks Zelun Luo · Yuliang Zou · Judy Hoffman · Li Fei-Fei |
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Poster
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Mon 18:30 |
Neural Program Meta-Induction Jacob Devlin · Rudy Bunel · Rishabh Singh · Matthew Hausknecht · Pushmeet Kohli |
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Workshop
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Fri 16:30 |
k-shot Learning of Acoustic Context Bert de Vries |
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Poster
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Tue 18:30 |
One-Sided Unsupervised Domain Mapping Sagie Benaim · Lior Wolf |
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Spotlight
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Wed 17:05 |
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms James McInerney |
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Poster
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Mon 18:30 |
Inductive Representation Learning on Large Graphs Will Hamilton · Zhitao Ying · Jure Leskovec |
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Workshop
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Fri 9:00 |
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks FARSHAD HARIRCHI |
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Poster
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Tue 18:30 |
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel · Douwe Kiela |