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45 Results
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Spotlight
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Thu 7:45 |
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin |
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Poster
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Tue 9:00 |
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation Christopher Dance · Perez Julien · Théo Cachet |
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Spotlight
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Wed 5:25 |
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation Qian Zhang · Yilin Zheng · Jean Honorio |
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Workshop
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Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks FAN LIU · Shuyu Zhao · Xuelong Dai · Bin Xiao |
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Poster
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Thu 9:00 |
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin |
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Poster
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Wed 9:00 |
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation Qian Zhang · Yilin Zheng · Jean Honorio |
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Workshop
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Sat 9:15 |
Few-Shot Conformal Prediction with Auxiliary Tasks (Spotlight #1) Adam Fisch |
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Workshop
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Attacking Few-Shot Classifiers with Adversarial Support Poisoning Elre Oldewage · John Bronskill · Richard E Turner |
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Spotlight
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Thu 20:50 |
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve · Aviv Navon · Yochai Yemini · Gal Chechik · Ethan Fetaya |
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Poster
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Thu 21:00 |
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve · Aviv Navon · Yochai Yemini · Gal Chechik · Ethan Fetaya |
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Spotlight
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Wed 19:45 |
A large-scale benchmark for few-shot program induction and synthesis Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum |
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Poster
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Wed 21:00 |
A large-scale benchmark for few-shot program induction and synthesis Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum |