Learning with Inadequate and Incorrect Supervision

20 February 2019

Papers citing "Learning with Inadequate and Incorrect Supervision"

11 / 11 papers shown

Title
Robust Learning under Hybrid Noise Yang Wei Shuo Chen Shanshan Ye Bo Han Chen Gong NoLa 42 1 0 04 Jul 2024
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels Chuang Zhang Li Shen Jian Yang Chen Gong NoLa 27 5 0 27 Jun 2022
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier B. Afonso Lilian Berton 16 3 0 10 Jan 2022
Semantic Clustering based Deduction Learning for Image Recognition and Classification Wenchi Ma Xuemin Tu Bo Luo Guanghui Wang 36 29 0 25 Dec 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 Jun 2021
Analysis of label noise in graph-based semi-supervised learning B. Afonso Lilian Berton NoLa 14 14 0 27 Sep 2020
Identifying noisy labels with a transductive semi-supervised leave-one-out filter B. Afonso Lilian Berton 12 9 0 24 Sep 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Network Cooperation with Progressive Disambiguation for Partial Label Learning Yao Yao Chen Gong Jiehui Deng Jian Yang 19 24 0 22 Feb 2020
A Survey on Multi-output Learning Donna Xu Yaxin Shi Ivor W. Tsang Yew-Soon Ong Chen Gong Xiaobo Shen 19 5 0 02 Jan 2019
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 26 193 0 27 Nov 2017