Learning with Multiple Complementary Labels

Learning with Multiple Complementary Labels

30 December 2019

Bo Han

Masashi Sugiyama

Papers citing "Learning with Multiple Complementary Labels"

18 / 18 papers shown

Title
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 29 12 0 22 May 2023
Q&A Label Learning Kota Kawamoto Masato Uchida 11 0 0 08 May 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning Mingyu Xu Zheng Lian 21 1 0 06 Mar 2023
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 18 13 0 28 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen J. Zhao 51 38 0 21 Sep 2022
Reduction from Complementary-Label Learning to Probability Estimates Weipeng Lin Hsuan-Tien Lin 27 9 0 20 Sep 2022
Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning Jiachen Du Jialuo Feng Kun-Yu Lin Fa-Ting Hong Xiao-Ming Wu Zhongang Qi Ying Shan Weihao Zheng 37 5 0 22 Jun 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 19 1 0 29 Mar 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 41 25 0 22 Jan 2022
Learning with Proper Partial Labels Zheng Wu Jiaqi Lv Masashi Sugiyama 22 8 0 23 Dec 2021
Leveraged Weighted Loss for Partial Label Learning Hongwei Wen Jingyi Cui H. Hang Jiabin Liu Yisen Wang Zhouchen Lin 8 95 0 10 Jun 2021
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 19 17 0 13 Feb 2021
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 28 21 0 05 Oct 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 28 70 0 04 Aug 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 313 498 0 05 Mar 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 11 177 0 19 Feb 2020
Classification from Pairwise Similarity and Unlabeled Data Han Bao Gang Niu Masashi Sugiyama 165 87 0 12 Feb 2018