SELF: Learning to Filter Noisy Labels with Self-Ensembling

4 October 2019

Thi Phuong Nhung Ngo

Papers citing "SELF: Learning to Filter Noisy Labels with Self-Ensembling"

50 / 172 papers shown

Title
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Siqi Wang Aoming Liu Bryan A. Plummer OOD 36 0 0 03 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 80 0 0 16 Mar 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis Chen Zhao Xuan Wang Tong Zhang Saqib Javed Mathieu Salzmann 3DGS 170 0 0 13 Mar 2025
Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning Yao Du Jiaxin Zhuang Xiaoyu Zheng Jing Cong Limei Guo Chao He Lin Luo Xiaomeng Li MedIm 46 1 0 05 Mar 2025
Confidence HNC: A Network Flow Technique for Binary Classification with Noisy Labels Dorit Hochbaum Torpong Nitayanont 67 0 0 04 Mar 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 101 0 0 13 Feb 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 160 0 0 18 Dec 2024
Optimized Gradient Clipping for Noisy Label Learning Xichen Ye Yifan Wu Weizhong Zhang Xiaoqiang Li Yifan Chen Cheng Jin NoLa 79 0 0 12 Dec 2024
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons Thijs Vogels Hadrien Hendrikx 121 17 0 27 Nov 2024
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems H. Schneider Sebastian Nowak Aditya Parikh Yannik C. Layer Maike Theis Wolfgang Block Alois M. Sprinkart U. Attenberger R. Sifa NoLa 23 0 0 28 Oct 2024
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Omer Nahum Nitay Calderon Orgad Keller Idan Szpektor Roi Reichart 23 2 0 24 Oct 2024
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels Monica Millunzi Lorenzo Bonicelli Angelo Porrello Jacopo Credi Petter N. Kolm Simone Calderara CLL 36 2 0 26 Aug 2024
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction Dingyao Yu Yang An Wei Ye Xiongfeng Xiao Shaoguang Mao Tao Ge Shikun Zhang 36 1 0 22 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 32 0 0 27 Jun 2024
Seeking Certainty In Uncertainty: Dual-Stage Unified Framework Solving Uncertainty in Dynamic Facial Expression Recognition Haoran Wang Xinji Mai Zeng Tao Xuan Tong Junxiong Lin ... Shaoqi Yan Qing Zhao Ziheng Zhou Shuyong Gao Wenqiang Zhang 67 1 0 24 Jun 2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels Yangdi Lu Wenbo He NoLa 14 0 0 22 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 46 1 0 17 Jun 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xin Qi NoLa 24 0 0 30 May 2024
Can We Treat Noisy Labels as Accurate? Yuxiang Zheng Zhongyi Han Yilong Yin Xin Gao Tongliang Liu 25 1 0 21 May 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 18 5 0 08 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 43 4 0 07 May 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 35 1 0 05 Apr 2024
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery Siddharth Tourani Ahmed Alwheibi Arif Mahmood Muhammad Haris Khan DiffM 30 1 0 24 Mar 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition Jingyi Wang Xiaobo Xia Long Lan Xinghao Wu Jun-chen Yu Wenjing Yang Bo Han Tongliang Liu NoLa 24 7 0 20 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 47 2 0 04 Mar 2024
Learning and Forgetting Unsafe Examples in Large Language Models Jiachen Zhao Zhun Deng David Madras James Zou Mengye Ren MU KELM CLL 80 16 0 20 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection Siqi Wang Chau Pham Bryan A. Plummer NoLa 31 0 0 30 Nov 2023
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning Minghao Tang Yongquan He Yongxiu Xu Hongbo Xu Wenyuan Zhang Yang Lin NoLa 23 0 0 23 Oct 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 18 8 0 02 Sep 2023
Label Denoising through Cross-Model Agreement Yu-Xiang Wang Xin Xin Zaiqiao Meng J. Jose Fuli Feng NoLa 13 1 0 27 Aug 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 30 11 0 26 Aug 2023
Differences Between Hard and Noisy-labeled Samples: An Empirical Study Mahsa Forouzesh Patrick Thiran NoLa 19 1 0 20 Jul 2023
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise Donna Tjandra Jenna Wiens NoLa 25 3 0 10 Jul 2023
Partial Vessels Annotation-based Coronary Artery Segmentation with Self-training and Prototype Learning Zheng Zhang Xiaolei Zhang Yaolei Qi Guanyu Yang 18 2 0 10 Jul 2023
Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing Jie Fu Junyu Gao Changsheng Xu 26 6 0 05 Jul 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 13 2 0 20 Jun 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 19 4 0 20 Jun 2023
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite Xiao Yang A. Mohamed Shashank Jain Stanislav Peshterliev Debojeet Chatterjee Hanwen Zha Nikita Bhalla Gagan Aneja Pranab Mohanty 11 0 0 13 Jun 2023
Binary Classification with Instance and Label Dependent Label Noise H. Im Paul Grigas NoLa 22 2 0 06 Jun 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling Yuchen Zhuang Yue Yu Lingkai Kong Xiang Chen Chao Zhang NoLa SyDa AI4CE 22 13 0 30 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 24 21 0 24 May 2023
A Survey of Historical Learning: Learning Models with Learning History Xiang Li Ge Wu Lingfeng Yang Wenzhe Wang Renjie Song Jian Yang MU AI4TS 23 2 0 23 Mar 2023
Fine-Grained Classification with Noisy Labels Qi Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 103 19 0 04 Mar 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets Irina Bejan Artem Sokolov Katja Filippova TDI 16 8 0 27 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 36 8 0 02 Jan 2023
Learning to Detect Noisy Labels Using Model-Based Features Zhihao Wang Zongyu Lin Peiqi Liu Guidong Zheng Jun-Hao Wen Xianxin Chen Yujun Chen Zhilin Yang NoLa 12 3 0 28 Dec 2022
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning Woohyun Kang Jonghwan Mun Sungjun Lee Byungseok Roh VLM 6 18 0 27 Dec 2022
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 17 5 0 19 Dec 2022
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 19 1 0 16 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 30 3 0 08 Dec 2022