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
Compensation Learning in Semantic Segmentation Timo Kaiser Christoph Reinders Bodo Rosenhahn NoLa 197 5 0 26 Apr 2023
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition Qing Yu Atsushi Hashimoto Yoshitaka Ushiku NoLa 132 1 0 20 Apr 2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity ConsistencyComputer Vision and Pattern Recognition (CVPR), 2023 Shuo Yang Zhaopan Xu Kai Wang Yang You Huanjin Yao Tongliang Liu Min Xu 234 50 0 22 Mar 2023
LION: Implicit Vision Prompt TuningAAAI Conference on Artificial Intelligence (AAAI), 2023 Haixin Wang Jianlong Chang Xiao Luo Jinan Sun Zhouchen Lin Qi Tian VLM MLLM VPVLM 165 32 0 17 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid SimilarityIEEE International Joint Conference on Neural Network (IJCNN), 2023 F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 316 5 0 16 Mar 2023
Collision Cross-entropy for Soft Class Labels and Deep Clustering Z. Zhang Yuri Boykov 197 1 0 13 Mar 2023
Twin Contrastive Learning with Noisy LabelsComputer Vision and Pattern Recognition (CVPR), 2023 Zhizhong Huang Junping Zhang Hongming Shan NoLa 150 90 0 13 Mar 2023
Fine-Grained Classification with Noisy LabelsComputer Vision and Pattern Recognition (CVPR), 2023 Qinglai Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 347 36 0 04 Mar 2023
Latent Class-Conditional Noise ModelIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 165 11 0 19 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label PurifierComputer Vision and Pattern Recognition (CVPR), 2023 Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 321 37 0 14 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy MaskingComputer Vision and Pattern Recognition (CVPR), 2023 Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Jiangning Zhang Yabiao Wang Chengjie Wang C. Zhao AAML NoLa 221 23 0 14 Feb 2023
Semi-Supervised Domain Adaptation with Source Label AdaptationComputer Vision and Pattern Recognition (CVPR), 2023 Yuhai Yu Hsuan-Tien Lin 299 49 0 05 Feb 2023
Discriminative Entropy Clustering and its Relation to K-means and SVM Z. Zhang Yuri Boykov 136 0 0 26 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-AwarenessIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 255 7 0 18 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yikai Wang Yanwei Fu Xinwei Sun NoLa 337 10 0 02 Jan 2023
Class Prototype-based Cleaner for Label Noise Learning Jingjia Huang Yuanqi Chen Jiashi Feng Xinglong Wu NoLa SSL 123 0 0 21 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model PredictionInternational Conference on Machine Learning (ICML), 2022 Jianguo Huang Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Shouqing Yang VLM NoLa 454 45 0 08 Dec 2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy LabelsIEEE International Conference on Computer Vision (ICCV), 2022 Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 177 13 0 07 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data SplittingInternational Conference on Machine Learning (ICML), 2022 Jihye Kim A. Baratin Yan Zhang Damien Scieur NoLa 266 10 0 03 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Yulei Qin Xingyu Chen Chao Chen Chunjiang Ge Bohan Ren Yun Gu Jie Yang Chunhua Shen 197 5 0 01 Dec 2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification De Cheng Haichun Tai N. Wang Zhen Wang Xinbo Gao 187 4 0 30 Nov 2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled LearningACM Multimedia (ACM MM), 2022 C. Xu Chen Liu Siqian Yang Yabiao Wang Shijie Zhang Lijie Jia Yanwei Fu 116 6 0 30 Nov 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 182 0 0 29 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration MethodIEEE International Conference on Computer Vision (ICCV), 2022 Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 336 31 0 20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy LabelsInternational Journal of Computer Vision (IJCV), 2022 Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 243 8 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Lefan Zhang Zhang-Hao Tian Wujun Zhou Wei Wang NoLa 259 4 0 20 Nov 2022
Learning advisor networks for noisy image classificationInternational Conference on Image Analysis and Processing (ICIAP), 2022 Simone Ricci Tiberio Uricchio Marco Bertini NoLa 83 0 0 08 Nov 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification R. Abdelfattah Xin Zhang M. Fouda Xiang Wang Song Wang VLM 180 10 0 20 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature NoiseInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Haotian Ye James Zou Linjun Zhang OOD 419 27 0 20 Oct 2022
Denoising Enhanced Distantly Supervised Ultrafine Entity TypingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Yue Zhang Hongliang Fei Ping Li 118 2 0 18 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution CalibrationACM Multimedia (ACM MM), 2022 Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 229 5 0 11 Oct 2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action RecognitionBritish Machine Vision Conference (BMVC), 2022 Kiyoon Kim Davide Moltisanti Oisin Mac Aodha Laura Sevilla-Lara 141 0 0 10 Oct 2022
Uncertainty-aware Label Distribution Learning for Facial Expression RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Nhat Le K. Nguyen Quang-Dieu Tran Erman Tjiputra Bac Le A. Nguyen 136 52 0 21 Sep 2022
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings Ashish Gupta Hari Prabhat Gupta Sajal K. Das 196 1 0 03 Sep 2022
Combating Noisy Labels in Long-Tailed Image Classification Chaowei Fang Lechao Cheng Huiyan Qi Dingwen Zhang NoLa 148 2 0 01 Sep 2022
Dual Representation Learning for One-Step Clustering of Multi-View DataArtificial Intelligence Review (Artif Intell Rev), 2022 Wei Zhang Zhaohong Deng K. Choi Jun Wang Shitong Wang 95 3 0 30 Aug 2022
Towards Federated Learning against Noisy Labels via Local Self-RegularizationInternational Conference on Information and Knowledge Management (CIKM), 2022 Xue Jiang Sheng Sun Yuwei Wang Min Liu 175 47 0 25 Aug 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence PenalizationEuropean Conference on Computer Vision (ECCV), 2022 Qinglai Wei Haoliang Sun Xiankai Lu Yilong Yin NoLa 179 55 0 24 Aug 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 145 8 0 23 Aug 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification R. Abdelfattah Xin Zhang Zhenyao Wu Xinyi Wu Xiang Wang Song Wang VLM 162 10 0 22 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised LearningEuropean Conference on Computer Vision (ECCV), 2022 Yue Duan Lei Qi Lei Wang Luping Zhou Yinghuan Shi OOD 136 12 0 09 Aug 2022
Neighborhood Collective Estimation for Noisy Label Identification and CorrectionEuropean Conference on Computer Vision (ECCV), 2022 Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 185 40 0 05 Aug 2022
Unsupervised Learning under Latent Label ShiftNeural Information Processing Systems (NeurIPS), 2022 Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 279 11 0 26 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 173 37 0 25 Jul 2022
Learning from Multiple Annotator Noisy Labels via Sample-wise Label FusionEuropean Conference on Computer Vision (ECCV), 2022 Zhengqi Gao Fan-Keng Sun Ming-Hsuan Yang Sucheng Ren Zikai Xiong Marc Engeler Antonio Burazer L. Wildling Lucani E. Daniel Duane S. Boning NoLa 182 16 0 22 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample UtilityInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen Jiaqi Zhao 630 71 0 21 Jul 2022
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse ConditionsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 David Brüggemann Daniel Gehrig Prune Truong Luc Van Gool 373 73 0 14 Jul 2022
Semi-supervised cross-lingual speech emotion recognitionExpert systems with applications (ESWA), 2022 Mirko Agarla Luigi Celona Simone Bianco Paolo Napoletano A. Petrovsky Flavio Piccoli Raimondo Schettini I. Shanin 252 23 0 14 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced DatasetsAAAI Conference on Artificial Intelligence (AAAI), 2022 Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Haiwei Yang NoLa 160 60 0 12 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy StatebioRxiv (bioRxiv), 2022 Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David Clifton N. Robertson 369 6 0 30 Jun 2022