v1v2v3 (latest)

Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels

5 July 2020

Papers citing "Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels"

28 / 28 papers shown

Title
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning Tan-Ha Mai Hsuan-Tien Lin 4 0 0 22 Sep 2025
Learning from Uncertain Similarity and Unlabeled Data Meng Wei Zhongnian Li Peng Ying Xinzheng Xu 8 0 0 15 Sep 2025
Realistic Evaluation of Deep Partial-Label Learning Algorithms Wei Wang Dong-Dong Wu Jindong Wang Gang Niu Min Zhang Masashi Sugiyama 105 3 0 17 Feb 2025
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning Zhongnian Li Meng Wei Peng Ying Xinzheng Xu 135 1 0 03 Dec 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 134 11 0 24 Jun 2024
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical Wei Wang Takashi Ishida Yu Zhang Gang Niu Masashi Sugiyama 149 6 0 27 Nov 2023
Unified Risk Analysis for Weakly Supervised Learning Chao-Kai Chiang Masashi Sugiyama 113 4 0 15 Sep 2023
Enhancing Label Sharing Efficiency in Complementary-Label Learning with Label Augmentation Weiliang Lin Gang Niu Hsuan-Tien Lin Masashi Sugiyama 68 0 0 15 May 2023
CLImage: Human-Annotated Datasets for Complementary-Label Learning Hsiu-Hsuan Wang Tan-Ha Mai Nai-Xuan Ye Weiliang Lin Hsuan-Tien Lin 147 4 0 15 May 2023
Complementary to Multiple Labels: A Correlation-Aware Correction Approach Yi Gao Miao Xu Min-Ling Zhang 68 1 0 25 Feb 2023
Counterfactual Prediction Under Outcome Measurement Error Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu 112 16 0 22 Feb 2023
Learning from Stochastic Labels Menglong Wei Zhongnian Li Yong Zhou Qiaoyu Guo Xinzheng Xu 78 0 0 01 Feb 2023
Complementary Labels Learning with Augmented Classes Zhongnian Li Jian Zhang Mengting Xu Xinzheng Xu Daoqiang Zhang 70 1 0 19 Nov 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou Jianing Zhu Jingfeng Zhang Tongliang Liu Gang Niu Bo Han Masashi Sugiyama AAML 76 9 0 01 Nov 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 114 14 0 28 Sep 2022
Reduction from Complementary-Label Learning to Probability Estimates Weipeng Lin Hsuan-Tien Lin 123 10 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 Chen Ma Ying Shan Weihao Zheng 123 6 0 22 Jun 2022
Learning from Label Proportions with Instance-wise Consistency Ryoma Kobayashi Yusuke Mukuta Tatsuya Harada 140 2 0 24 Mar 2022
Unbiased Loss Functions for Multilabel Classification with Missing Labels Erik Schultheis Rohit Babbar 70 6 0 23 Sep 2021
Multi-Class Classification from Single-Class Data with Confidences Yuzhou Cao Lei Feng Senlin Shu Yitian Xu Bo An Gang Niu Masashi Sugiyama 66 3 0 16 Jun 2021
An Exploration into why Output Regularization Mitigates Label Noise N. Shoham Tomer Avidor Nadav Tal-Israel NoLa 43 0 0 26 Apr 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification Shuhei M. Yoshida Takashi Takenouchi Masashi Sugiyama 82 2 0 04 Mar 2021
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 79 23 0 13 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 278 136 0 04 Feb 2021
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 91 154 0 17 Jul 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Nannan Wang Haifeng Liu Gang Niu NoLa 92 55 0 14 Jun 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 185 105 0 30 Dec 2019
Learning with Bounded Instance- and Label-dependent Label Noise Jiacheng Cheng Tongliang Liu K. Ramamohanarao Dacheng Tao NoLa 135 152 0 12 Sep 2017