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
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 62 28 0 03 Mar 2020
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision Denis A. Gudovskiy Alec Hodgkinson Takuya Yamaguchi Sotaro Tsukizawa FedML 6 59 0 01 Mar 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 23 197 0 24 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 18 78 0 24 Feb 2020
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance Matthew Almeida Wei Ding S. Crouter Ping Chen 4 10 0 23 Feb 2020
Optimizing Black-box Metrics with Adaptive Surrogates Qijia Jiang Olaoluwa Adigun Harikrishna Narasimhan M. M. Fard Maya R. Gupta 22 16 0 20 Feb 2020
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights Hrayr Harutyunyan Kyle Reing Greg Ver Steeg Aram Galstyan NoLa 6 53 0 19 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher S. Hoi NoLa 27 1,008 0 18 Feb 2020
Learning Adaptive Loss for Robust Learning with Noisy Labels Jun Shu Qian Zhao Keyu Chen Zongben Xu Deyu Meng NoLa OOD 19 23 0 16 Feb 2020
A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data Jun Hou Tong Qin Kailiang Wu D. Xiu 4 0 0 11 Feb 2020
GradMix: Multi-source Transfer across Domains and Tasks Junnan Li Ziwei Xu Yongkang Wong Qi Zhao Mohan S. Kankanhalli 24 7 0 09 Feb 2020
Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning Christian Haase-Schuetz Rainer Stal Heinz Hertlein Bernhard Sick NoLa 6 1 0 07 Feb 2020
Modeling Engagement in Long-Term, In-Home Socially Assistive Robot Interventions for Children with Autism Spectrum Disorders Shomik Jain B. Thiagarajan Zhonghao Shi Caitlyn E. Clabaugh Maja J. Matarić 9 81 0 06 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 32 261 0 28 Jan 2020
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement Lan-Zhe Guo Feng Kuang Zhang-Xun Liu Yu-Feng Li Nan Ma X. Qie NoLa 4 3 0 19 Jan 2020
Choosing the Sample with Lowest Loss makes SGD Robust Vatsal Shah Xiaoxia Wu Sujay Sanghavi 11 42 0 10 Jan 2020
Learning to Multi-Task Learn for Better Neural Machine Translation Poorya Zaremoodi Gholamreza Haffari 16 3 0 10 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 28 279 0 06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 32 99 0 06 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 22 9 0 22 Dec 2019
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 24 322 0 11 Dec 2019
Learning from Noisy Anchors for One-stage Object Detection Hengduo Li Zuxuan Wu Chen Zhu Caiming Xiong R. Socher L. Davis NoLa 21 97 0 11 Dec 2019
Robust Deep Graph Based Learning for Binary Classification Minxiang Ye V. Stanković L. Stanković Gene Cheung OOD 23 10 0 06 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 18 535 0 05 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 782 0 05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 22 76 0 04 Dec 2019
Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang Hong Zhu Zhenhua Dong Xiuqiang He Shao-Lun Huang TDI 18 51 0 03 Dec 2019
Abstract Reasoning with Distracting Features Kecheng Zheng Zhengjun Zha Wei Wei 18 72 0 02 Dec 2019
Noise Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada NoLa OOD 27 30 0 26 Nov 2019
Meta Adaptation using Importance Weighted Demonstrations Kiran Lekkala Sami Abu-El-Haija Laurent Itti 17 2 0 23 Nov 2019
Optimizing Data Usage via Differentiable Rewards Xinyi Wang Hieu H. Pham Paul Michel Antonios Anastasopoulos J. Carbonell Graham Neubig 16 58 0 22 Nov 2019
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels Lu Jiang Di Huang Mason Liu Weilong Yang NoLa 11 3 0 21 Nov 2019
How does Early Stopping Help Generalization against Label Noise? Hwanjun Song Minseok Kim Dongmin Park Jae-Gil Lee NoLa 17 75 0 19 Nov 2019
Meta Label Correction for Noisy Label Learning Guoqing Zheng Ahmed Hassan Awadallah S. Dumais NoLa OffRL 11 177 0 10 Nov 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra Jihun Hamm 24 45 0 08 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 11 402 0 06 Nov 2019
Searching to Exploit Memorization Effect in Learning from Corrupted Labels Quanming Yao Hansi Yang Bo Han Gang Niu James T. Kwok NoLa 16 16 0 06 Nov 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications Nicholas Carlini Ulfar Erlingsson Nicolas Papernot OOD OODD 24 62 0 29 Oct 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric P. Xing 24 116 0 28 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 57 1,188 0 21 Oct 2019
Mining GOLD Samples for Conditional GANs Sangwoo Mo Chiheon Kim Sungwoong Kim Minsu Cho Jinwoo Shin GAN AI4CE 25 20 0 21 Oct 2019
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning Jongmin Yu 11 0 0 21 Oct 2019
Image recognition from raw labels collected without annotators Fatih Yilmaz Reinhard Heckel NoLa 17 7 0 20 Oct 2019
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks Kaixuan Zhang Qinglong Wang Xue Liu C. Lee Giles TDI 23 3 0 15 Oct 2019
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels Devraj Mandal S. Bharadwaj Soma Biswas NoLa 12 20 0 13 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 33 308 0 04 Oct 2019
Accelerating Deep Learning by Focusing on the Biggest Losers Angela H. Jiang Daniel L.-K. Wong Giulio Zhou D. Andersen J. Dean ... Gauri Joshi M. Kaminsky M. Kozuch Zachary Chase Lipton Padmanabhan Pillai 11 118 0 02 Oct 2019
Distilling Effective Supervision from Severe Label Noise Zizhao Zhang Han Zhang Sercan Ö. Arik Honglak Lee Tomas Pfister NoLa 6 2 0 01 Oct 2019
Graph convolutional networks for learning with few clean and many noisy labels Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum Cordelia Schmid SSL 12 19 0 01 Oct 2019