most citedInstance Credibility Inference for Few-Shot Learning

9 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels

Yikai Wang, Xinwei Sun, Yanwei Fu

Noisy training set usually leads to the degradation of generalization and robustness of neural networks. In this paper, we propose using a theoretically guaranteed noisy label dete…

cs.CV2020★ 9 cited

Instance Credibility Inference for Few-Shot Learning

Yikai Wang, Chengming Xu, Chen Liu +2

Few-shot learning (FSL) aims to recognize new objects with extremely limited training data for each category. Previous efforts are made by either leveraging meta-learning paradigm…