Learning from Complementary Labels

22 May 2017

Papers citing "Learning from Complementary Labels"

42 / 42 papers shown

Title
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes Kun Xia Le Wang Sanpin Zhou Gang Hua Wei Tang 40 1 0 17 Mar 2024
Exploiting Counter-Examples for Active Learning with Partial labels Fei Zhang Yunjie Ye Lei Feng Zhongwen Rao Jieming Zhu Marcus Kalander Chen Gong Jianye Hao Bo Han 33 0 0 14 Jul 2023
CLImage: Human-Annotated Datasets for Complementary-Label Learning Hsiu-Hsuan Wang Tan-Ha Mai Nai-Xuan Ye Weiliang Lin Hsuan-Tien Lin 44 1 0 15 May 2023
Q&A Label Learning Kota Kawamoto Masato Uchida 24 0 0 08 May 2023
Complementary to Multiple Labels: A Correlation-Aware Correction Approach Yi Gao Miao Xu Min-Ling Zhang 19 0 0 25 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning Jiayi Han Longbin Zeng Liang Du Weiyang Ding Jianfeng Feng OOD TTA 21 14 0 15 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification Hao Xu Hui Xiao Huazheng Hao Li Dong Xiaojie Qiu Chengbin Peng VLM SSL 16 22 0 10 Jan 2023
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 35 10 0 13 Dec 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 21 13 0 28 Sep 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 40 14 0 28 Sep 2022
Reduction from Complementary-Label Learning to Probability Estimates Weipeng Lin Hsuan-Tien Lin 35 9 0 20 Sep 2022
A patch-based architecture for multi-label classification from single label annotations Warren Jouanneau Aurélie Bugeau Marc Palyart Nicolas Papadakis Laurent Vézard 28 0 0 14 Sep 2022
ProPaLL: Probabilistic Partial Label Learning Lukasz Struski Jacek Tabor Bartosz Zieliñski 33 2 0 21 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning Yue Duan Lei Qi Lei Wang Luping Zhou Yinghuan Shi OOD 29 11 0 09 Aug 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 42 5 0 22 Jun 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples Zhilin Zhao LongBing Cao Changbao Wang OOD OODD 45 1 0 19 Jun 2022
Federated Learning with Noisy User Feedback Rahul Sharma Anil Ramakrishna Ansel MacLaughlin Anna Rumshisky Jimit Majmudar Clement Chung Salman Avestimehr Rahul Gupta FedML 26 10 0 06 May 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 38 34 0 27 Mar 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
Learning with Proper Partial Labels Zheng Wu Jiaqi Lv Masashi Sugiyama 26 8 0 23 Dec 2021
Unsupervised Abstract Reasoning for Raven's Problem Matrices Tao Zhuo Qian Huang Mohan S. Kankanhalli LRM 115 22 0 21 Sep 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 23 108 0 17 Jun 2021
Multi-Class Classification from Single-Class Data with Confidences Yuzhou Cao Lei Feng Senlin Shu Yitian Xu Bo An Gang Niu Masashi Sugiyama 19 3 0 16 Jun 2021
Leveraged Weighted Loss for Partial Label Learning Hongwei Wen Jingyi Cui H. Hang Jiabin Liu Yisen Wang Zhouchen Lin 16 95 0 10 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction Zehui Liao Yutong Xie Shishuai Hu Yong-quan Xia AI4CE 40 30 0 23 Apr 2021
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 27 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 24 159 0 09 Nov 2020
Classification with Rejection Based on Cost-sensitive Classification Nontawat Charoenphakdee Zhenghang Cui Yivan Zhang Masashi Sugiyama 80 65 0 22 Oct 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 36 22 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
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 25 30 0 29 Jul 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 30 141 0 17 Jul 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 43 32 0 19 Feb 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 19 177 0 19 Feb 2020
Bridging Ordinary-Label Learning and Complementary-Label Learning Yasuhiro Katsura M. Uchida FedML CLL 30 17 0 06 Feb 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 20 92 0 30 Dec 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 0 19 Aug 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 23 10 0 18 Dec 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 26 193 0 27 Nov 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 38 56 0 19 Oct 2017