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07/10/2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
Training a deep neural network with a small amount of data is a challeng...
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06/08/2020
Multi-step Estimation for Gradient-based Meta-learning
Gradient-based meta-learning approaches have been successful in few-shot...
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09/11/2019
Few-Shot Classification on Unseen Domains by Learning Disparate Modulators
Although few-shot learning studies have advanced rapidly with the help o...
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06/05/2019
Discriminative Few-Shot Learning Based on Directional Statistics
Metric-based few-shot learning methods try to overcome the difficulty du...
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06/20/2018
Doubly Nested Network for Resource-Efficient Inference
We propose doubly nested network(DNNet) where all neurons represent thei...
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06/11/2018
