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03/27/2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
In some medical imaging tasks and other settings where only small parts ...
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01/30/2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Many contrastive and meta-learning approaches learn representations by i...
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04/11/2020
Meta-Learning in Neural Networks: A Survey
The field of meta-learning, or learning-to-learn, has seen a dramatic ri...
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05/24/2019
Learning to learn by Self-Critique
In few-shot learning, a machine learning system learns from a small set ...
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02/26/2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
The field of few-shot learning has been laboriously explored in the supe...
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11/01/2018
Dilated DenseNets for Relational Reasoning
Despite their impressive performance in many tasks, deep neural networks...
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10/22/2018
How to train your MAML
The field of few-shot learning has recently seen substantial advancement...
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10/02/2018
CINIC-10 is not ImageNet or CIFAR-10
In this brief technical report we introduce the CINIC-10 dataset as a pl...
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11/12/2017
