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 / 176 papers shown

Title
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning Woohyun Kang Jonghwan Mun Sungjun Lee Byungseok Roh VLM 97 20 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 76 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 68 6 0 16 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 87 4 0 08 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 108 31 0 08 Dec 2022
Text Embeddings by Weakly-Supervised Contrastive Pre-training Liang Wang Nan Yang Xiaolong Huang Binxing Jiao Linjun Yang Daxin Jiang Rangan Majumder Furu Wei VLM 263 624 0 07 Dec 2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 90 8 0 07 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 74 5 0 02 Dec 2022
Robust Training for Speaker Verification against Noisy Labels Zhihua Fang Liang He Hanhan Ma Xiao-Min Guo Lin Li NoLa 80 3 0 22 Nov 2022
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning Chenkang Zhang Lei Luo Bin Gu 75 4 0 19 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Benlin Liu Jian Wu NoLa 109 37 0 12 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek Abdelzaher Jiawei Han VLM 122 49 0 06 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 99 10 0 21 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 92 4 0 11 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 98 2 0 02 Oct 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qinglai Wei Haoliang Sun Xiankai Lu Yilong Yin NoLa 49 45 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 82 7 0 23 Aug 2022
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination Tingting Wu Xiao Ding Hao Zhang Jin-Fang Gao Li Du Bing Qin Ting Liu 78 9 0 21 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 91 2 0 17 Aug 2022
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels Ganlong Zhao Guanbin Li Yipeng Qin Feng Liu Yizhou Yu NoLa 71 24 0 29 Jul 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification Tom Burgert Mahdyar Ravanbakhsh Begüm Demir NoLa 62 18 0 28 Jul 2022
Learning from Data with Noisy Labels Using Temporal Self-Ensemble Jun Ho Lee J. Baik Taebaek Hwang J. Choi NoLa 52 1 0 21 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Yuhang Zhang Chengrui Wang Xu Ling Weihong Deng 108 150 0 21 Jul 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels Chuang Zhang Li Shen Jian Yang Chen Gong NoLa 77 5 0 27 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 120 314 0 19 Jun 2022
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise Jongwoo Ko Bongsoo Yi Se-Young Yun NoLa 71 5 0 15 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 86 47 0 08 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 82 66 0 06 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations Ying-Long Bai Erkun Yang Zhaoqing Wang Yuxuan Du Bo Han Cheng Deng Dadong Wang Tongliang Liu SSL 85 3 0 04 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery Dimitrios Mallis Enrique Sanchez Matt Bell Georgios Tzimiropoulos SSL 3DPC 80 7 0 31 May 2022
Deep Learning with Label Noise: A Hierarchical Approach Li-Wei Chen Ningyuan Huang Cong Mu Hayden S. Helm Kate Lytvynets Weiwei Yang Carey E. Priebe NoLa 77 1 0 28 May 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Dinesh Manocha Guodong Long Bo Han Jing Jiang FedML 107 19 0 20 May 2022
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy Teddy Cunningham Konstantin Klemmer Hongkai Wen Hakan Ferhatosmanoglu 67 12 0 18 May 2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training Cheng Xue Lequan Yu Pengfei Chen Qi Dou Pheng-Ann Heng NoLa 66 54 0 10 May 2022
Automatic Noisy Label Correction for Fine-Grained Entity Typing Wei-Fan Pan Wei Wei Feida Zhu NoLa 85 18 0 06 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 84 40 0 02 May 2022
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection Mingtao Feng Li-Yu Daisy Liu Liangkai Zhang Hongshan Yu Yaonan Wang Ajmal Mian 71 18 0 28 Apr 2022
Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types Siteng Chen Jin-Peng Xiang Xiyue Wang Jun Zhang Sen Yang Junzhou Huang Wei T Yang Jun Zheng Xiao Han 84 1 0 07 Apr 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 104 40 0 29 Mar 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 106 25 0 15 Mar 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 63 0 0 26 Feb 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 67 35 0 16 Feb 2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Yu Meng Jiaxin Huang Yu Zhang Jiawei Han SyDa 79 235 0 09 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 108 77 0 04 Feb 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 103 49 0 04 Feb 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise? Yexiong Lin Yu Yao Yuxuan Du Jun Yu Bo Han Biwei Huang Tongliang Liu NoLa 94 3 0 30 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen Jiaqi Zhao VLM 144 31 0 22 Jan 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende Stéphane Clinchant NoLa VLM 79 16 0 20 Dec 2021
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen Hao Cheng Yuntao Du Ming Xu Wenyu Jiang Chongjun Wang NoLa 73 26 0 06 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 74 76 0 05 Dec 2021