Learning to Reweight Examples for Robust Deep Learning

24 March 2018

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

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Title
Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions Gautam Rajendrakumar Gare J. Galeotti 9 3 0 25 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
Co-matching: Combating Noisy Labels by Augmentation Anchoring Yangdi Lu Yang Bo Wenbo He NoLa 27 7 0 23 Mar 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Shuang Li Kaixiong Gong Chi Harold Liu Yulin Wang Feng Qiao Xinjing Cheng 19 148 0 23 Mar 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 31 34 0 21 Mar 2021
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels G. Algan ilkay Ulusoy NoLa 19 12 0 19 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 12 19 0 16 Mar 2021
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association Peisong Wen Qianqian Xu Yangbangyan Jiang Zhiyong Yang Yuan He Qingming Huang CVBM 17 32 0 12 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 19 77 0 06 Mar 2021
IOT: Instance-wise Layer Reordering for Transformer Structures Jinhua Zhu Lijun Wu Yingce Xia Shufang Xie Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu 31 7 0 05 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 32 29 0 05 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 27 3 0 01 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 22 0 28 Feb 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks Boyan Gao Henry Gouk Timothy M. Hospedales OOD NoLa 36 18 0 27 Feb 2021
Gradient-guided Loss Masking for Neural Machine Translation Xinyi Wang Ankur Bapna Melvin Johnson Orhan Firat 18 9 0 26 Feb 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 39 6 0 26 Feb 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 13 9 0 24 Feb 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 38 103 0 23 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 40 256 0 18 Feb 2021
Optimizing Black-box Metrics with Iterative Example Weighting G. Hiranandani Jatin Mathur Harikrishna Narasimhan M. M. Fard Oluwasanmi Koyejo NoLa 12 6 0 18 Feb 2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies Mehmet Özgür Türkoglu Stefano Dáronco Gregor Perich F. Liebisch Constantin Streit Konrad Schindler Jan Dirk Wegner 87 129 0 17 Feb 2021
Uncertainty-based method for improving poorly labeled segmentation datasets Ekaterina Redekop A. Chernyavskiy UQCV 19 10 0 16 Feb 2021
Semantic Segmentation with Labeling Uncertainty and Class Imbalance P. O. Bressan J. M. Junior J. Martins D. Gonçalves Daniel Matte Freitas ... J. Silva Zhipeng Luo Jonathan Li R. García W. Gonçalves UQCV SSeg 21 38 0 08 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 133 120 0 04 Feb 2021
Learning to Combat Noisy Labels via Classification Margins Jason Lin Jelena Bradic NoLa 34 7 0 01 Feb 2021
ResLT: Residual Learning for Long-tailed Recognition Jiequan Cui Shu Liu Zhuotao Tian Zhisheng Zhong Jiaya Jia 18 127 0 26 Jan 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 79 342 0 25 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning Lang Huang Chaoning Zhang Hongyang R. Zhang SSL 33 24 0 21 Jan 2021
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning Paul Novello Gaël Poëtte D. Lugato P. Congedo 19 0 0 19 Jan 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model Qizhou Wang Bo Han Tongliang Liu Gang Niu Jian Yang Chen Gong NoLa 25 26 0 14 Jan 2021
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning Yu Tian L. Pu Yuyuan Liu Gabriel Maicas Johan W. Verjans A. Burt Seon Ho Shin Rajvinder Singh G. Carneiro 8 7 0 09 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding Woojeong Jin Maziar Sanjabi Shaoliang Nie L Tan Xiang Ren Hamed Firooz 19 6 0 06 Jan 2021
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision Si Sun Yingzhuo Qian Zhenghao Liu Chenyan Xiong Kaitao Zhang Jie Bao Zhiyuan Liu Paul N. Bennett 36 18 0 29 Dec 2020
Learning by Ignoring, with Application to Domain Adaptation Xingchen Zhao Xuehai He P. Xie 14 1 0 28 Dec 2020
Identifying Training Stop Point with Noisy Labeled Data Sree Ram Kamabattula V. Devarajan Babak Namazi G. Sankaranarayanan NoLa 13 2 0 24 Dec 2020
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 30 19 0 23 Dec 2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 21 28 0 22 Dec 2020
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 35 24 0 19 Dec 2020
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan Rishabh Iyer University of Texas at Dallas 27 200 0 19 Dec 2020
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera Dan Jia Mats Steinweg Alexander Hermans Bastian Leibe 3DPC 27 11 0 16 Dec 2020
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu R. L. Jin W. Yin Tianbao Yang ODL 26 12 0 13 Dec 2020
One for More: Selecting Generalizable Samples for Generalizable ReID Model Enwei Zhang Xinyang Jiang Hao Cheng Ancong Wu Fufu Yu Ke Li Xiao-Wei Guo Feng Zheng Weishi Zheng Xing Sun 15 16 0 10 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 40 122 0 10 Dec 2020
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data Xianfeng Li Weijie Chen Di Xie Shicai Yang Peng Yuan Shiliang Pu Yueting Zhuang 26 140 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 25 6 0 09 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
Robust Learning by Self-Transition for Handling Noisy Labels Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 13 40 0 08 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 103 34 0 08 Dec 2020