Learning to Reweight Examples for Robust Deep Learning

24 March 2018

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

50 / 772 papers shown

Title
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 32 49 0 30 Jun 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks Dongha Kim Yongchan Choi Kunwoong Kim Yongdai Kim NoLa 16 0 0 29 Jun 2021
Utilizing a digital swarm intelligence platform to improve consensus among radiologists and exploring its applications Rutwik Shah B. Astuto Tyler J. Gleason W. Fletcher J. Banaga ... Kevin C. McGill T. Link J. Crane V. Pedoia S. Majumdar 20 2 0 26 Jun 2021
Training Data Subset Selection for Regression with Controlled Generalization Error D. Sivasubramanian Rishabh K. Iyer Ganesh Ramakrishnan A. De 11 21 0 23 Jun 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training Ruotian Ma Tao Gui Linyang Li Qi Zhang Yaqian Zhou Xuanjing Huang 22 28 0 22 Jun 2021
Distilling effective supervision for robust medical image segmentation with noisy labels Jialin Shi Ji Wu NoLa 19 32 0 21 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 27 83 0 21 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 20 20 0 19 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 24 78 0 14 Jun 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 38 11 0 14 Jun 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 26 6 0 12 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 44 62 0 10 Jun 2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization Fan Bao Guoqiang Wu Chongxuan Li Jun Zhu Bo Zhang 30 30 0 08 Jun 2021
Salvage of Supervision in Weakly Supervised Object Detection Lin Sui Chen-Da Liu-Zhang Jianxin Wu 29 17 0 08 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 22 1 0 07 Jun 2021
Sum of Ranked Range Loss for Supervised Learning Shu Hu Yiming Ying Xin Wang Siwei Lyu 29 23 0 07 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 23 3 0 03 Jun 2021
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation Zhe Xu Donghuan Lu Yixin Wang Jie Luo J. Jagadeesan Kai Ma Yefeng Zheng Xiu Li 27 48 0 03 Jun 2021
Exploring Memorization in Adversarial Training Yinpeng Dong Ke Xu Xiao Yang Tianyu Pang Zhijie Deng Hang Su Jun Zhu TDI 30 69 0 03 Jun 2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness Glenn Dawson R. Polikar NoLa 47 3 0 28 May 2021
AutoSampling: Search for Effective Data Sampling Schedules Ming Sun Hao Dou Baopu Li Lei Cui Junjie Yan Wanli Ouyang 39 6 0 28 May 2021
Training With Data Dependent Dynamic Learning Rates Shreyas Saxena Nidhi Vyas D. DeCoste ODL 6 1 0 27 May 2021
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network Shuo Yang Erkun Yang Bo Han Yang Liu Min Xu Gang Niu Tongliang Liu NoLa BDL 31 42 0 27 May 2021
Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks Sree Ram Kamabattula Kumudha Musini Babak Namazi G. Sankaranarayanan V. Devarajan NoLa 9 0 0 22 May 2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise Ming-Kun Xie Sheng-Jun Huang NoLa 24 25 0 16 May 2021
Meta Auxiliary Learning for Facial Action Unit Detection Yong Li Shiguang Shan CVBM 27 14 0 14 May 2021
The $s$ -value: evaluating stability with respect to distributional shifts Suyash Gupta Dominik Rothenhausler 39 16 0 07 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 21 20 0 07 May 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning Youjiang Xu Linchao Zhu Lu Jiang Yi Yang 33 51 0 30 Apr 2021
Discriminative-Generative Dual Memory Video Anomaly Detection Xin Guo Zhongming Jin Chong Chen Helei Nie Jianqiang Huang Deng Cai Xiaofei He Xiansheng Hua 11 5 0 29 Apr 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 48 57 0 21 Apr 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? Aritra Ghosh Andrew S. Lan NoLa 13 9 0 19 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew S. Lan NoLa 21 58 0 19 Apr 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning Mengzhou Xia Guoqing Zheng Subhabrata Mukherjee Milad Shokouhi Graham Neubig Ahmed Hassan Awadallah 20 31 0 16 Apr 2021
Joint Negative and Positive Learning for Noisy Labels Youngdong Kim Juseung Yun Hyounguk Shon Junmo Kim NoLa 28 60 0 14 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 33 55 0 13 Apr 2021
Simpler Certified Radius Maximization by Propagating Covariances Xingjian Zhen Rudrasis Chakraborty Vikas Singh AAML 17 5 0 13 Apr 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 21 86 0 12 Apr 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 30 33 0 09 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 35 142 0 07 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 21 76 0 06 Apr 2021
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation Cheng Xue Q. Deng Xuelong Li Qi Dou Pheng Ann Heng 14 26 0 05 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 24 31 0 05 Apr 2021
Robust Audio-Visual Instance Discrimination Pedro Morgado Ishan Misra Nuno Vasconcelos SSL 19 110 0 29 Mar 2021
Visual Distant Supervision for Scene Graph Generation Yuan Yao Ao Zhang Xu Han Mengdi Li C. Weber Zhiyuan Liu S. Wermter Maosong Sun 13 40 0 29 Mar 2021
Meta-Mining Discriminative Samples for Kinship Verification Wanhua Li Shiwei Wang Jiwen Lu Jianjiang Feng Jie Zhou 33 20 0 28 Mar 2021
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Peng Wang Kai Han Xiu-Shen Wei Lei Zhang Lei Wang SSL 35 233 0 26 Mar 2021
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation Rumeng Yi Yaping Huang Q. Guan Mengyang Pu Runsheng Zhang NoLa 28 27 0 26 Mar 2021
Transform consistency for learning with noisy labels Rumeng Yi Yaping Huang NoLa 24 4 0 25 Mar 2021