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10/03/2019
An empirical study of pretrained representations for few-shot classification
Recent algorithms with state-of-the-art few-shot classification results ...
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08/20/2019
Density estimation in representation space to predict model uncertainty
Deep learning models frequently make incorrect predictions with high con...
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02/07/2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
The ability to generalize quickly from few observations is crucial for i...
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07/04/2018
Encoding Spatial Relations from Natural Language
Natural language processing has made significant inroads into learning t...
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07/04/2018
Conditional Neural Processes
Deep neural networks excel at function approximation, yet they are typic...
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12/02/2016
