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
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 18 29 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 39 521 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 25 7 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 24 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 22 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 27 4 0 19 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen D. Z. Chen Jian Wu NoLa 25 34 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 F. Abdelzaher Jiawei Han VLM 41 46 0 06 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 31 8 0 21 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 16 3 0 11 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 30 2 0 02 Oct 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qi Wei Haoliang Sun Xiankai Lu Yilong Yin NoLa 6 42 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 29 6 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 41 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 13 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 17 22 0 29 Jul 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification Tom Burgert Mahdyar Ravanbakhsh Begum Demir NoLa 10 17 0 28 Jul 2022
Learning from Data with Noisy Labels Using Temporal Self-Ensemble Jun Ho Lee J. Baik Taebaek Hwang J. Choi NoLa 22 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 25 136 0 21 Jul 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels Chuang Zhang Li Shen Jian Yang Chen Gong NoLa 15 5 0 27 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 30 295 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 14 5 0 15 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 24 46 0 08 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De-Chun Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 35 65 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 23 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 30 6 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 17 1 0 28 May 2022
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels Zhuowei Wang Tianyi Zhou Guodong Long Bo Han Jing Jiang FedML 27 19 0 20 May 2022
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy Teddy Cunningham Konstantin Klemmer Hongkai Wen Hakan Ferhatosmanoglu 25 11 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 6 52 0 10 May 2022
Automatic Noisy Label Correction for Fine-Grained Entity Typing Wei-Fan Pan Wei Wei Feida Zhu NoLa 13 17 0 06 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 25 39 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 Saeed Mian 14 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 29 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 16 39 0 29 Mar 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 29 23 0 15 Mar 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 27 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 25 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 30 228 0 09 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 25 75 0 04 Feb 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 25 43 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 Mingming Gong Tongliang Liu NoLa 41 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 J. Zhao VLM 41 25 0 22 Jan 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 11 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 14 25 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 26 71 0 05 Dec 2021
Constrained Instance and Class Reweighting for Robust Learning under Label Noise Abhishek Kumar Ehsan Amid NoLa 25 19 0 09 Nov 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 22 18 0 22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 176 875 0 21 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 33 28 0 18 Oct 2021