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Positive-Unlabeled Learning with Non-Negative Risk Estimator

2 March 2017

Papers citing "Positive-Unlabeled Learning with Non-Negative Risk Estimator"

50 / 128 papers shown

Title
GreedyNASv2: Greedier Search with a Greedy Path Filter Tao Huang Shan You Fei Wang Chao Qian Changshui Zhang Xiaogang Wang Chang Xu 97 18 0 24 Nov 2021
Mixture Proportion Estimation and PU Learning: A Modern Approach Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 69 53 0 01 Nov 2021
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach Cheng-Yu Hsieh Weiliang Lin Miao Xu Gang Niu Hsuan-Tien Lin Masashi Sugiyama LRM 54 1 0 29 Sep 2021
Estimation of Local Average Treatment Effect by Data Combination Kazuhiko Shinoda T. Hoshino 48 1 0 11 Sep 2021
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence Ganzhao Yuan 82 3 0 09 Sep 2021
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification Kazuma Fujii D. Suehiro Kazuya Nishimura Ryoma Bise 38 7 0 20 Jul 2021
Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation Shōta Nakajima Masashi Sugiyama 149 9 0 11 Jul 2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda Niek Tax Kees Jan de Vries Mathijs de Jong Nikoleta Dosoula Bram van den Akker Jon Smith Olivier Thuong Lucas Bernardi 39 21 0 05 Jul 2021
Federated Learning with Positive and Unlabeled Data Xinyang Lin Hanting Chen Yixing Xu Chao Xu Xiaolin Gui Yiping Deng Yunhe Wang FedML 54 20 0 21 Jun 2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding S. Tonekaboni Danny Eytan Anna Goldenberg CML SSL AI4TS 173 298 0 01 Jun 2021
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels Daiki Tanaka Daiki Ikami Kiyoharu Aizawa NoLa 30 3 0 08 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 100 35 0 08 Mar 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification Shuhei M. Yoshida Takashi Takenouchi Masashi Sugiyama 61 2 0 04 Mar 2021
Delayed Rewards Calibration via Reward Empirical Sufficiency Yixuan Liu Hu Wang Xiaowei Wang Xiaoyue Sun Liuyue Jiang Minhui Xue 69 0 0 21 Feb 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator Shichao Xu Lixu Wang Yixuan Wang Qi Zhu 76 15 0 15 Feb 2021
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 59 18 0 13 Feb 2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data Haoang Chi Feng Liu Bo Han Wenjing Yang L. Lan Tongliang Liu Gang Niu Mingyuan Zhou Masashi Sugiyama 135 43 0 08 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 83 0 0 05 Jan 2021
Probabilistic Outlier Detection and Generation S. Rizzo Linsey Pang Yixian Chen Sanjay Chawla 56 0 0 22 Dec 2020
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 64 4 0 12 Dec 2020
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 124 24 0 12 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 106 69 0 27 Nov 2020
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 100 163 0 09 Nov 2020
Binary classification with ambiguous training data Naoya Otani Yosuke Otsubo Tetsuya Koike Masashi Sugiyama CVBM 33 6 0 05 Nov 2020
Classification with Rejection Based on Cost-sensitive Classification Nontawat Charoenphakdee Zhenghang Cui Yivan Zhang Masashi Sugiyama 176 67 0 22 Oct 2020
On the Power of Deep but Naive Partial Label Learning Junghoon Seo Joon Suk Huh 62 12 0 22 Oct 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation Uchenna Akujuobi Jun Chen Mohamed Elhoseiny Michael Spranger Xiangliang Zhang 101 9 0 05 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 109 23 0 05 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks Yixing Xu Chang Xu Xinghao Chen Wei Zhang Chunjing Xu Yunhe Wang 96 47 0 28 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 74 100 0 07 Sep 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 95 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 97 31 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 72 150 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 125 58 0 05 Jul 2020
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 177 569 0 01 Jul 2020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen Wuyang Chen Tianlong Chen Ye Yuan Chen Gong Kewei Chen Zhangyang Wang 85 81 0 22 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 98 36 0 12 Jun 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning Tong Wei Feng Shi Hai Wang Wei-Wei Tu. Yu-Feng Li 55 11 0 20 Apr 2020
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 228 352 0 05 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Jianguo Huang Lei Feng Xiangyu Chen Bo An NoLa 418 525 0 05 Mar 2020
Claim Check-Worthiness Detection as Positive Unlabelled Learning Dustin Wright Isabelle Augenstein 94 6 0 05 Mar 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida Ikko Yamane Tomoya Sakai Gang Niu Masashi Sugiyama AI4CE 74 137 0 20 Feb 2020
Object Detection as a Positive-Unlabeled Problem Yuewei Yang Kevin J. Liang Lawrence Carin 82 39 0 11 Feb 2020
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning Yu Yao Tongliang Liu Bo Han Biwei Huang Gang Niu Masashi Sugiyama Dacheng Tao 85 18 0 10 Feb 2020
On Positive-Unlabeled Classification in GAN Tianyu Guo Chang Xu Jiajun Huang Yunhe Wang Boxin Shi Chao Xu Dacheng Tao GAN 64 35 0 04 Feb 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 128 98 0 30 Dec 2019
CONAN: Complementary Pattern Augmentation for Rare Disease Detection Limeng Cui Siddharth Biswal Lucas Glass Greg Lever Jimeng Sun Cao Xiao MedIm 73 38 0 26 Nov 2019
Positive-Unlabeled Reward Learning Danfei Xu Misha Denil 94 38 0 01 Nov 2019
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach Nan Lu Tianyi Zhang Gang Niu Masashi Sugiyama 112 56 0 20 Oct 2019
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification Florent Chiaroni G. Khodabandelou Mohamed-Cherif Rahal N. Hueber Frederic Dufaux 44 4 0 04 Oct 2019