61 citations · 61 across the 3 of their papers we have counts for
3 papers
Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning
Stanisław Pawlak, Bartłomiej Twardowski, Tomasz Trzciński +1
Our research addresses the overlooked security concerns related to data poisoning in continual learning (CL). Data poisoning - the intentional manipulation of training data to affe…
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
Kai Wang, Xialei Liu, Andy Bagdanov +3
Most meta-learning approaches assume the existence of a very large set of labeled data available for episodic meta-learning of base knowledge. This contrasts with the more realisti…
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Carola Figueroa Flores, Abel Gonzalez-García, Joost van de Weijer +1
This paper investigates the role of saliency to improve the classification accuracy of a Convolutional Neural Network (CNN) for the case when scarce training data is available. Our…