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Canonical normalizing flows for manifold learning
Neural Information Processing Systems
The embedding of such a manifold into the high-dimensional space of the data is achieved via learnable invertible transformations.
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Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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TeachLess, LearnMore: OntheUndistillableClassesinKnowledgeDistillation
Neural Information Processing Systems
A counter-intuitive observation is that a more expansive teacher does not make a better student, but the reasons for this phenomenon remain unclear.
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