Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

14 February 2018

Papers citing "Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise"

50 / 284 papers shown

Title
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning Eloy Anguiano Batanero Ángela Fernández Pascual Á. Jiménez OffRL 15 0 0 23 May 2023
Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification Long Peng T. Wei Xuehong Chen Xiaobei Chen Rui Sun L. Wan Jin Chen Xiaolin Zhu NoLa 14 2 0 20 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild Ting Wu Jingyi Liu Rui Zheng Qi Zhang Tao Gui Xuanjing Huang CLL 33 0 0 11 May 2023
Unlocking the Power of Open Set : A New Perspective for Open-Set Noisy Label Learning Wenhai Wan Xinrui Wang Ming-Kun Xie Shao-Yuan Li Sheng-Jun Huang Songcan Chen 39 8 0 07 May 2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks Xiaoling Zhou Ou Wu OOD BDL CML 32 4 0 26 Apr 2023
Compensation Learning in Semantic Segmentation Timo Kaiser Christoph Reinders Bodo Rosenhahn NoLa 35 3 0 26 Apr 2023
RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models Seulki Park Daeho Um Hajung Yoon Sanghyuk Chun Sangdoo Yun Jin Young Choi 38 2 0 21 Apr 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Identifying Label Errors in Object Detection Datasets by Loss Inspection Marius Schubert Tobias Riedlinger Karsten Kahl Daniel Kröll S. Schoenen Sinisa Segvic Matthias Rottmann NoLa 32 6 0 13 Mar 2023
Calibrated Regression Against An Adversary Without Regret Shachi Deshpande Charles Marx Volodymyr Kuleshov 38 0 0 23 Feb 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning Aadyot Bhatnagar Haiquan Wang Caiming Xiong Yu Bai AI4TS 33 47 0 15 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 39 3 0 06 Feb 2023
Understanding Self-Distillation in the Presence of Label Noise Rudrajit Das Sujay Sanghavi 35 13 0 30 Jan 2023
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 36 4 0 29 Jan 2023
Meta-Learning Mini-Batch Risk Functionals Jacob Tyo Zachary Chase Lipton 22 0 0 27 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 42 0 0 04 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 64 2 0 02 Jan 2023
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 41 1 0 20 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 35 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 24 1 0 16 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 26 29 0 08 Dec 2022
Robust Point Cloud Segmentation with Noisy Annotations Shuquan Ye Dongdong Chen Songfang Han Jing Liao 3DPC 26 9 0 06 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 34 5 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 31 2 0 01 Dec 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 23 0 0 29 Nov 2022
CLID: Controlled-Length Image Descriptions with Limited Data Elad Hirsch A. Tal VLM 3DV 22 4 0 27 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou Wei Wang NoLa 24 2 0 20 Nov 2022
Learning advisor networks for noisy image classification Simone Ricci Tiberio Uricchio A. Bimbo NoLa 42 0 0 08 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 56 47 0 06 Nov 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 24 3 0 11 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection Paul Albert Eric Arazo Tarun Kirshna Noel E. O'Connor Kevin McGuinness NoLa 27 14 0 10 Oct 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss B. Felfeliyan A. Hareendranathan G. Kuntze S. Wichuk Nils D. Forkert Jacob L. Jaremko J. Ronsky NoLa 41 2 0 16 Sep 2022
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning Rahul Mishra Hari Prabhat Gupta Tanima Dutta Sajal K. Das 11 3 0 03 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 39 27 0 02 Sep 2022
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents Ritesh Sarkhel Binxuan Huang Colin Lockard Prashant Shiralkar 27 2 0 27 Aug 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qinglai Wei Haoliang Sun Xiankai Lu Yilong Yin NoLa 19 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 38 6 0 23 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 48 17 0 21 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 25 12 0 19 Aug 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 41 14 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 33 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 Begüm Demir NoLa 18 17 0 28 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen Jun Zhao 24 54 0 21 Jul 2022
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes Canyu Chen Yueqing Liang Xiongxiao Xu Shangyu Xie A. Kundu Ali Payani Yuan Hong Kai Shu 24 6 0 18 Jul 2022
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification Matthias Rottmann Marco Reese UQCV 28 22 0 13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 30 44 0 12 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 27 6 0 30 Jun 2022