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Joint Optimization Framework for Learning with Noisy Labels

30 March 2018

Papers citing "Joint Optimization Framework for Learning with Noisy Labels"

50 / 392 papers shown

Title
Co-matching: Combating Noisy Labels by Augmentation Anchoring Yangdi Lu Yang Bo Wenbo He NoLa 116 9 0 23 Mar 2021
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2021 Yaoru Luo Guole Liu Yuanhao Guo Ge Yang NoLa 235 12 0 22 Mar 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised LearningPattern Recognition (Pattern Recogn.), 2021 Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 271 42 0 21 Mar 2021
Detecting Label Noise via Leave-One-Out Cross-Validation Yu-Hang Tang Yuanran Zhu W. A. Jong 156 3 0 21 Mar 2021
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-LabelsIEEE Transactions on Image Processing (TIP), 2021 G. Algan ilkay Ulusoy NoLa 161 13 0 19 Mar 2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label CorrectionIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021 Hao-Chiang Shao Hsin-Chieh Wang Weng-Tai Su Chia-Wen Lin NoLa 125 6 0 13 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit DifferentiationComputer Vision and Pattern Recognition (CVPR), 2021 Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 105 23 0 10 Mar 2021
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels Daiki Tanaka Daiki Ikami Kiyoharu Aizawa NoLa 80 4 0 08 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label NoisePacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021 Yayong Li Jie Yin Ling-Hao Chen NoLa 176 37 0 05 Mar 2021
Augmentation Strategies for Learning with Noisy LabelsComputer Vision and Pattern Recognition (CVPR), 2021 Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 359 129 0 03 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 92 3 0 01 Mar 2021
Multiplicative Reweighting for Robust Neural Network OptimizationSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021 Noga Bar Tomer Koren Raja Giryes OOD NoLa 676 9 0 24 Feb 2021
Open-World Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021 Kaidi Cao Maria Brbic J. Leskovec BDL 334 230 0 06 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor PointsInternational Conference on Machine Learning (ICML), 2021 Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 410 151 0 04 Feb 2021
Noise-robust classification with hypergraph neural networkIndonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2021 Nguyen Trinh Vu Dang L. Tran Linh-Tam Tran NoLa 111 2 0 03 Feb 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Lang Huang Chaoning Zhang Hongyang R. Zhang SSL 256 30 0 21 Jan 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic ModelAAAI Conference on Artificial Intelligence (AAAI), 2021 Qizhou Wang Bo Han Tongliang Liu Gang Niu Zhiqiang Wang Chen Gong NoLa 219 33 0 14 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 244 4 0 07 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-IdentificationIEEE Transactions on Image Processing (TIP), 2020 Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 248 83 0 26 Dec 2020
Identifying Training Stop Point with Noisy Labeled Data Sree Ram Kamabattula V. Devarajan Babak Namazi G. Sankaranarayanan NoLa 197 2 0 24 Dec 2020
One for More: Selecting Generalizable Samples for Generalizable ReID ModelAAAI Conference on Artificial Intelligence (AAAI), 2020 Enwei Zhang Xinyang Jiang Hao Cheng Ancong Wu Fufu Yu Ke Li Xiao-Wei Guo Feng Zheng Weishi Zheng Xing Sun 300 18 0 10 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseAAAI Conference on Artificial Intelligence (AAAI), 2020 Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 208 141 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Jianguo Huang Lei Feng Rongpin Wang Bo An NoLa 135 7 0 09 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 274 127 0 09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 243 144 0 08 Dec 2020
KNN-enhanced Deep Learning Against Noisy Labels Shuyu Kong You Li Jia Wang Amin Rezaei Zhengyu Ma NoLa 135 6 0 08 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 280 36 0 08 Dec 2020
Robust Federated Learning with Noisy LabelsIEEE Intelligent Systems (IEEE Intell. Syst.), 2020 Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 183 93 0 03 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 141 18 0 02 Dec 2020
Delving Deep into Label SmoothingIEEE Transactions on Image Processing (TIP), 2020 Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 213 265 0 25 Nov 2020
Error-Bounded Correction of Noisy LabelsInternational Conference on Machine Learning (ICML), 2020 Songzhu Zheng Pengxiang Wu A. Goswami Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 218 141 0 19 Nov 2020
Coresets for Robust Training of Neural Networks against Noisy Labels Baharan Mirzasoleiman Kaidi Cao J. Leskovec NoLa 174 33 0 15 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 313 179 0 09 Nov 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 334 62 0 07 Nov 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution T. Henry Alexandre Carré Marvin Lerousseau Théo Estienne C. Robert Nikos Paragios Eric Deutsch 128 96 0 30 Oct 2020
Suppressing Mislabeled Data via Grouping and Self-AttentionEuropean Conference on Computer Vision (ECCV), 2020 Xiaojiang Peng Kai Wang Zhaoyang Zeng Qing Li Jianfei Yang Yu Qiao 93 34 0 29 Oct 2020
Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Hui Chen Jingjing Jiang Jingjing Jiang CoGe OCL 160 8 0 27 Oct 2020
Facial Emotion Recognition with Noisy Multi-task AnnotationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Siwei Zhang Zhiwu Huang D. Paudel Luc Van Gool CVBM 254 11 0 19 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 121 13 0 12 Oct 2020
Training Binary Neural Networks through Learning with Noisy SupervisionInternational Conference on Machine Learning (ICML), 2020 Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 165 62 0 10 Oct 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve ApproachInternational Conference on Learning Representations (ICLR), 2020 Hao Cheng Zhaowei Zhu Xingyu Li Yifei Gong Xing Sun Yang Liu NoLa 253 236 0 05 Oct 2020
Attention-Aware Noisy Label Learning for Image Classification Zhenzhen Wang Chunyan Xu Yap-Peng Tan Junsong Yuan NoLa 130 2 0 30 Sep 2020
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data Katharina Rombach Gabriel Michau Olga Fink NoLa 88 1 0 30 Sep 2020
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation Joy Hsu Sonia Phene A. Mitani Jieying Luo N. Hammel Jonathan Krause Rory Sayres NoLa 75 6 0 22 Sep 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 221 35 0 20 Sep 2020
Weak-shot Fine-grained Classification via Similarity TransferNeural Information Processing Systems (NeurIPS), 2020 Junjie Chen Li Niu Liu Liu Liqing Zhang 215 28 0 19 Sep 2020
Noisy Concurrent Training for Efficient Learning under Label NoiseIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 F. Sarfraz Elahe Arani Bahram Zonooz NoLa 102 27 0 17 Sep 2020
MoPro: Webly Supervised Learning with Momentum PrototypesInternational Conference on Learning Representations (ICLR), 2020 Junnan Li Caiming Xiong Guosheng Lin 205 111 0 17 Sep 2020
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference DistributionsInternational Conference on Pattern Recognition (ICPR), 2020 Wei Hu QiHao Zhao Yangyu Huang Fan Zhang 158 9 0 14 Sep 2020
Webly Supervised Image Classification with Self-Contained ConfidenceEuropean Conference on Computer Vision (ECCV), 2020 Jingkang Yang Xue Jiang Weirong Chen Xiaopeng Yan Huabin Zheng Ping Luo Wayne Zhang 103 15 0 27 Aug 2020

Joint Optimization Framework for Learning with Noisy Labels

30 March 2018

Papers citing "Joint Optimization Framework for Learning with Noisy Labels"

50 / 392 papers shown

Title
Co-matching: Combating Noisy Labels by Augmentation Anchoring Yangdi Lu Yang Bo Wenbo He NoLa 116 9 0 23 Mar 2021
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2021 Yaoru Luo Guole Liu Yuanhao Guo Ge Yang NoLa 235 12 0 22 Mar 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised LearningPattern Recognition (Pattern Recogn.), 2021 Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 271 42 0 21 Mar 2021
Detecting Label Noise via Leave-One-Out Cross-Validation Yu-Hang Tang Yuanran Zhu W. A. Jong 156 3 0 21 Mar 2021
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-LabelsIEEE Transactions on Image Processing (TIP), 2021 G. Algan ilkay Ulusoy NoLa 161 13 0 19 Mar 2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label CorrectionIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021 Hao-Chiang Shao Hsin-Chieh Wang Weng-Tai Su Chia-Wen Lin NoLa 125 6 0 13 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit DifferentiationComputer Vision and Pattern Recognition (CVPR), 2021 Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 105 23 0 10 Mar 2021
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels Daiki Tanaka Daiki Ikami Kiyoharu Aizawa NoLa 80 4 0 08 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label NoisePacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021 Yayong Li Jie Yin Ling-Hao Chen NoLa 176 37 0 05 Mar 2021
Augmentation Strategies for Learning with Noisy LabelsComputer Vision and Pattern Recognition (CVPR), 2021 Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 359 129 0 03 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 92 3 0 01 Mar 2021
Multiplicative Reweighting for Robust Neural Network OptimizationSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021 Noga Bar Tomer Koren Raja Giryes OOD NoLa 676 9 0 24 Feb 2021
Open-World Semi-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021 Kaidi Cao Maria Brbic J. Leskovec BDL 334 230 0 06 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor PointsInternational Conference on Machine Learning (ICML), 2021 Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 410 151 0 04 Feb 2021
Noise-robust classification with hypergraph neural networkIndonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2021 Nguyen Trinh Vu Dang L. Tran Linh-Tam Tran NoLa 111 2 0 03 Feb 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Lang Huang Chaoning Zhang Hongyang R. Zhang SSL 256 30 0 21 Jan 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic ModelAAAI Conference on Artificial Intelligence (AAAI), 2021 Qizhou Wang Bo Han Tongliang Liu Gang Niu Zhiqiang Wang Chen Gong NoLa 219 33 0 14 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 244 4 0 07 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-IdentificationIEEE Transactions on Image Processing (TIP), 2020 Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 248 83 0 26 Dec 2020
Identifying Training Stop Point with Noisy Labeled Data Sree Ram Kamabattula V. Devarajan Babak Namazi G. Sankaranarayanan NoLa 197 2 0 24 Dec 2020
One for More: Selecting Generalizable Samples for Generalizable ReID ModelAAAI Conference on Artificial Intelligence (AAAI), 2020 Enwei Zhang Xinyang Jiang Hao Cheng Ancong Wu Fufu Yu Ke Li Xiao-Wei Guo Feng Zheng Weishi Zheng Xing Sun 300 18 0 10 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseAAAI Conference on Artificial Intelligence (AAAI), 2020 Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 208 141 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Jianguo Huang Lei Feng Rongpin Wang Bo An NoLa 135 7 0 09 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 274 127 0 09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 243 144 0 08 Dec 2020
KNN-enhanced Deep Learning Against Noisy Labels Shuyu Kong You Li Jia Wang Amin Rezaei Zhengyu Ma NoLa 135 6 0 08 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 280 36 0 08 Dec 2020
Robust Federated Learning with Noisy LabelsIEEE Intelligent Systems (IEEE Intell. Syst.), 2020 Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 183 93 0 03 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 141 18 0 02 Dec 2020
Delving Deep into Label SmoothingIEEE Transactions on Image Processing (TIP), 2020 Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 213 265 0 25 Nov 2020
Error-Bounded Correction of Noisy LabelsInternational Conference on Machine Learning (ICML), 2020 Songzhu Zheng Pengxiang Wu A. Goswami Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 218 141 0 19 Nov 2020
Coresets for Robust Training of Neural Networks against Noisy Labels Baharan Mirzasoleiman Kaidi Cao J. Leskovec NoLa 174 33 0 15 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 313 179 0 09 Nov 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 334 62 0 07 Nov 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution T. Henry Alexandre Carré Marvin Lerousseau Théo Estienne C. Robert Nikos Paragios Eric Deutsch 128 96 0 30 Oct 2020
Suppressing Mislabeled Data via Grouping and Self-AttentionEuropean Conference on Computer Vision (ECCV), 2020 Xiaojiang Peng Kai Wang Zhaoyang Zeng Qing Li Jianfei Yang Yu Qiao 93 34 0 29 Oct 2020
Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Hui Chen Jingjing Jiang Jingjing Jiang CoGe OCL 160 8 0 27 Oct 2020
Facial Emotion Recognition with Noisy Multi-task AnnotationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Siwei Zhang Zhiwu Huang D. Paudel Luc Van Gool CVBM 254 11 0 19 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 121 13 0 12 Oct 2020
Training Binary Neural Networks through Learning with Noisy SupervisionInternational Conference on Machine Learning (ICML), 2020 Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 165 62 0 10 Oct 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve ApproachInternational Conference on Learning Representations (ICLR), 2020 Hao Cheng Zhaowei Zhu Xingyu Li Yifei Gong Xing Sun Yang Liu NoLa 253 236 0 05 Oct 2020
Attention-Aware Noisy Label Learning for Image Classification Zhenzhen Wang Chunyan Xu Yap-Peng Tan Junsong Yuan NoLa 130 2 0 30 Sep 2020
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data Katharina Rombach Gabriel Michau Olga Fink NoLa 88 1 0 30 Sep 2020
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation Joy Hsu Sonia Phene A. Mitani Jieying Luo N. Hammel Jonathan Krause Rory Sayres NoLa 75 6 0 22 Sep 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 221 35 0 20 Sep 2020
Weak-shot Fine-grained Classification via Similarity TransferNeural Information Processing Systems (NeurIPS), 2020 Junjie Chen Li Niu Liu Liu Liqing Zhang 215 28 0 19 Sep 2020
Noisy Concurrent Training for Efficient Learning under Label NoiseIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 F. Sarfraz Elahe Arani Bahram Zonooz NoLa 102 27 0 17 Sep 2020
MoPro: Webly Supervised Learning with Momentum PrototypesInternational Conference on Learning Representations (ICLR), 2020 Junnan Li Caiming Xiong Guosheng Lin 205 111 0 17 Sep 2020
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference DistributionsInternational Conference on Pattern Recognition (ICPR), 2020 Wei Hu QiHao Zhao Yangyu Huang Fan Zhang 158 9 0 14 Sep 2020
Webly Supervised Image Classification with Self-Contained ConfidenceEuropean Conference on Computer Vision (ECCV), 2020 Jingkang Yang Xue Jiang Weirong Chen Xiaopeng Yan Huabin Zheng Ping Luo Wayne Zhang 103 15 0 27 Aug 2020