Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data
Authors:
- 3 October 2024
- book chapter
- Published by Springer Nature
- p. 294-311
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Few-shot Learning with Noisy Labels2022
- Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation2022
- A Broader Study of Cross-Domain Few-Shot Learning2020
- Momentum Contrast for Unsupervised Visual Representation Learning2020
- Self-Training With Noisy Student Improves ImageNet Classification2020
- Symmetric Cross Entropy for Robust Learning With Noisy Labels2019
- Meta-Transfer Learning for Few-Shot Learning2019
- Face-Specific Data Augmentation for Unconstrained Face RecognitionInternational Journal of Computer Vision, 2019
- Unsupervised Feature Learning via Non-parametric Instance Discrimination2018
- Domain Adaptation with Regularized Optimal Transport2014