Eleni Triantafillou | DeepAI

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∙ 02/20/2023

Towards Unbounded Machine Unlearning

Deep machine unlearning is the problem of removing the influence of a co...

0 Meghdad Kurmanji, et al. ∙

∙ 02/13/2023

In Search for a Generalizable Method for Source Free Domain Adaptation

Source-free domain adaptation (SFDA) is compelling because it allows ada...

0 Malik Boudiaf, et al. ∙

∙ 05/14/2021

Learning a Universal Template for Few-shot Dataset Generalization

Few-shot dataset generalization is a challenging variant of the well-stu...

15 Eleni Triantafillou, et al. ∙

∙ 12/10/2020

Flexible Few-Shot Learning with Contextual Similarity

Existing approaches to few-shot learning deal with tasks that have persi...

17 Mengye Ren, et al. ∙

∙ 03/07/2019

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Few-shot classification refers to learning a classifier for new classes ...

43 Eleni Triantafillou, et al. ∙

∙ 03/02/2018

Meta-Learning for Semi-Supervised Few-Shot Classification

In few-shot classification, we are interested in learning algorithms tha...

0 Mengye Ren, et al. ∙

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