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Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach

20 October 2019

Papers citing "Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach"

32 / 32 papers shown

Title
Learning from Uncertain Similarity and Unlabeled Data Meng Wei Zhongnian Li Peng Ying Xinzheng Xu 8 0 0 15 Sep 2025
A Unified Empirical Risk Minimization Framework for Flexible N-Tuples Weak Supervision Shuying Huang Junpeng Li Changchun Hua Yana Yang 46 0 0 10 Jul 2025
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences Soichiro Nishimori Yu Zhang Thanawat Lodkaew Masashi Sugiyama NoLa 72 1 0 30 May 2025
Learning from M-Tuple Dominant Positive and Unlabeled Data Jiahe Qin Junpeng Li Changchun Hua Yana Yang 111 0 0 25 May 2025
Reduction of Supervision for Biomedical Knowledge Discovery Christos Theodoropoulos Andrei Catalin Coman James Henderson Marie-Francine Moens 70 0 0 13 Apr 2025
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning Jiaqi Wu Junbiao Pang Qingming Huang 130 0 0 13 Mar 2025
Enhancing Affinity Propagation for Improved Public Sentiment Insights Mayimunah Nagayi Clement Nyirenda 41 1 0 12 Oct 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
Binary Classification with Confidence Difference Wei Wang Lei Feng Yuchen Jiang Gang Niu Min Zhang Masashi Sugiyama 90 9 0 09 Oct 2023
Unified Risk Analysis for Weakly Supervised Learning Chao-Kai Chiang Masashi Sugiyama 113 4 0 15 Sep 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision Yuhao Wu Xiaobo Xia Jun Yu Bo Han Gang Niu Masashi Sugiyama Tongliang Liu 124 3 0 12 Jun 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes Senlin Shu Shuo He Haobo Wang Jianguo Huang Tao Xiang Lei Feng 65 4 0 12 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos Volkan Cevher FedML OOD 124 9 0 08 Jun 2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data Masahiro Kato Shuting Wu Kodai Kureishi Shota Yasui 70 1 0 08 Mar 2023
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization Yuting Tang Nan Lu Tianyi Zhang Masashi Sugiyama 104 4 0 04 Jul 2022
Learning from Label Proportions with Instance-wise Consistency Ryoma Kobayashi Yusuke Mukuta Tatsuya Harada 140 2 0 24 Mar 2022
Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation Shōta Nakajima Masashi Sugiyama 198 9 0 11 Jul 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
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
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification Nan Lu Shida Lei Gang Niu Issei Sato Masashi Sugiyama 111 16 0 01 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 122 0 0 05 Jan 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 161 167 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 167 27 0 05 Oct 2020
Learning Classifiers under Delayed Feedback with a Time Window Assumption Masahiro Kato Shota Yasui 93 6 0 28 Sep 2020
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
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels Yu-Ting Chou Gang Niu Hsuan-Tien Lin Masashi Sugiyama 175 62 0 05 Jul 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 144 40 0 12 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 138 147 0 08 Jun 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida Ikko Yamane Tomoya Sakai Gang Niu Masashi Sugiyama AI4CE 103 142 0 20 Feb 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 185 105 0 30 Dec 2019
Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization Taira Tsuchiya Nontawat Charoenphakdee Issei Sato Masashi Sugiyama OffRL 81 4 0 31 Jan 2019