Learning Deep Networks from Noisy Labels with Dropout Regularization

9 May 2017

Papers citing "Learning Deep Networks from Noisy Labels with Dropout Regularization"

30 / 30 papers shown

Title
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 50 1 0 13 Sep 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 35 2 0 28 May 2024
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures Melaku N. Getahun Oleg Y. Rogov Dmitry Dylov Andrey Somov Ahmed Bouridane R. Hamoudi 13 1 0 14 Nov 2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning Xindi Wang Yufei Wang Can Xu Xiubo Geng Bowen Zhang Chongyang Tao Frank Rudzicz Robert E. Mercer Daxin Jiang 33 11 0 28 Jul 2023
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation Rahul Mishra Hari Prabhat Gupta 40 8 0 30 Sep 2022
Robust Product Classification with Instance-Dependent Noise Huy-Thanh Nguyen Devashish Khatwani NoLa 34 8 0 14 Sep 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 32 4 0 21 Mar 2022
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Noisy Annotation Refinement for Object Detection Jiafeng Mao Qing Yu Yoko Yamakata Kiyoharu Aizawa NoLa 42 10 0 20 Oct 2021
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training A. Gómez-Ríos Julián Luengo Francisco Herrera OOD NoLa 21 0 0 08 Sep 2021
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
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 963 0 16 Jul 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 31 29 0 10 Jun 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 41 674 0 31 Oct 2019
Noisy Batch Active Learning with Deterministic Annealing Gaurav Gupta Anit Kumar Sahu Wan-Yi Lin NoLa 24 6 0 27 Sep 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 0 19 Aug 2019
Supervised Classifiers for Audio Impairments with Noisy Labels Chandan K. A. Reddy Ross Cutler J. Gehrke NoLa 27 4 0 03 Jul 2019
An Effective Label Noise Model for DNN Text Classification Ishan Jindal Daniel Pressel Brian Lester M. Nokleby NoLa 32 48 0 18 Mar 2019
Learning with Inadequate and Incorrect Supervision Chen Gong Hengmin Zhang Jian Yang Dacheng Tao 13 33 0 20 Feb 2019
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
An ETF view of Dropout regularization Dor Bank Raja Giryes 8 4 0 14 Oct 2018
Taming the Cross Entropy Loss Manuel Martínez Rainer Stiefelhagen NoLa 26 46 0 11 Oct 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 37 19 0 21 Aug 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 39 702 0 30 Mar 2018
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective Jing Zhang Tong Zhang Yuchao Dai Mehrtash Harandi Richard I. Hartley 17 182 0 29 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 69 1,410 0 24 Mar 2018
Learning From Noisy Singly-labeled Data A. Khetan Zachary Chase Lipton Anima Anandkumar NoLa 16 160 0 13 Dec 2017
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014