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09/18/2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
Transductive Few-Shot learning has gained increased attention nowadays c...
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01/24/2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Few-shot learning aims at leveraging knowledge learned by one or more de...
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10/18/2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Few-shot classification is a challenging problem due to the uncertainty ...
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05/27/2021
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network
The world is increasingly urbanizing and the building industry accounts ...
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01/12/2021
Improving Classification Accuracy with Graph Filtering
In machine learning, classifiers are typically susceptible to noise in t...
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06/06/2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Few-shot classification is a challenging problem due to the uncertainty ...
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01/27/2020