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1705.03419
Cited By
Learning Deep Networks from Noisy Labels with Dropout Regularization
9 May 2017
Ishan Jindal
M. Nokleby
Xuewen Chen
NoLa
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Papers citing
"Learning Deep Networks from Noisy Labels with Dropout Regularization"
50 / 71 papers shown
Policy Learning from Large Vision-Language Model Feedback without Reward Modeling
Tung M. Luu
Donghoon Lee
Younghwan Lee
Chang D. Yoo
OffRL
291
3
0
31 Jul 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
333
0
0
24 May 2025
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Anita Eisenburger
Daniel Otten
Anselm Hudde
F. Hopfgartner
NoLa
492
2
0
13 Sep 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification
Hongfei Huang
Tingting Liang
Xixi Sun
Zikang Jin
Yuyu Yin
NoLa
320
1
0
09 Jul 2024
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
Pattern Recognition Letters (PR), 2023
Melaku N. Getahun
Oleg Y. Rogov
Dmitry V. Dylov
Andrey Somov
Ahmed Bouridane
R. Hamoudi
393
4
0
14 Nov 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective
Renyu Zhu
Haoyu Liu
Runze Wu
Min-Hsien Lin
Tangjie Lv
Changjie Fan
Haobo Wang
NoLa
312
2
0
28 Jul 2023
Characterizing Datapoints via Second-Split Forgetting
Neural Information Processing Systems (NeurIPS), 2022
Pratyush Maini
Saurabh Garg
Zachary Chase Lipton
J. Zico Kolter
375
43
0
26 Oct 2022
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Rahul Mishra
Hari Prabhat Gupta
214
19
0
30 Sep 2022
Robust Product Classification with Instance-Dependent Noise
Huy-Thanh Nguyen
Devashish Khatwani
NoLa
232
10
0
14 Sep 2022
Deep Learning with Label Noise: A Hierarchical Approach
Li-Wei Chen
Ningyuan Huang
Cong Mu
Hayden S. Helm
Kate Lytvynets
Weiwei Yang
Carey E. Priebe
NoLa
167
1
0
28 May 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation
SDM (SDM), 2022
Yongliang Ding
Tao Zhou
Chuang Zhang
Yijing Luo
Juan Tang
Chen Gong
NoLa
262
4
0
21 Mar 2022
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
253
73
0
27 Oct 2021
Noisy Annotation Refinement for Object Detection
British Machine Vision Conference (BMVC), 2021
Jiafeng Mao
Qing Yu
Yoko Yamakata
Kiyoharu Aizawa
NoLa
360
13
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
206
0
0
08 Sep 2021
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection
ARES (ARES), 2021
Andrea Corsini
S. Yang
Giovanni Apruzzese
147
22
0
15 Jun 2021
Training Classifiers that are Universally Robust to All Label Noise Levels
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Jingyi Xu
Tony Q.S. Quek
Kai Fong Ernest Chong
NoLa
226
3
0
27 May 2021
Joint Negative and Positive Learning for Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2021
Youngdong Kim
Juseung Yun
Hyounguk Shon
Junmo Kim
NoLa
201
84
0
14 Apr 2021
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Negin Majidi
Ehsan Amid
Hossein Talebi
Manfred K. Warmuth
NoLa
247
21
0
03 Apr 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G. Northcutt
Anish Athalye
Jonas W. Mueller
566
662
0
26 Mar 2021
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels
Daiki Tanaka
Daiki Ikami
Kiyoharu Aizawa
NoLa
123
4
0
08 Mar 2021
Hypothesis Testing for Class-Conditional Label Noise
Rafael Poyiadzi
Weisong Yang
Niall Twomey
Raúl Santos-Rodríguez
NoLa
292
0
0
03 Mar 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels?
Neural Information Processing Systems (NeurIPS), 2020
Jingling Li
Mozhi Zhang
Keyulu Xu
John P. Dickerson
Jimmy Ba
OOD
NoLa
366
23
0
23 Dec 2020
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera
IEEE International Conference on Robotics and Automation (ICRA), 2020
Dan Jia
Mats Steinweg
Alexander Hermans
Bastian Leibe
3DPC
285
18
0
16 Dec 2020
KNN-enhanced Deep Learning Against Noisy Labels
Shuyu Kong
You Li
Jia Wang
Amin Rezaei
Zhengyu Ma
NoLa
228
6
0
08 Dec 2020
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang
Chunyan Xu
Yap-Peng Tan
Junsong Yuan
NoLa
185
2
0
30 Sep 2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yichen Wu
Jun Shu
Qi Xie
Qian Zhao
Deyu Meng
222
85
0
03 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
1.4K
1,308
0
16 Jul 2020
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
Amirmasoud Ghiassi
Robert Birke
Rui Han
L. Chen
NoLa
219
2
0
10 Jul 2020
Deep Categorization with Semi-Supervised Self-Organizing Maps
Pedro H. M. Braga
H. R. Medeiros
H. Bassani
SSL
146
6
0
17 Jun 2020
Towards Robust Pattern Recognition: A Review
Proceedings of the IEEE (Proc. IEEE), 2020
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
283
132
0
12 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
Jun Shu
Qian Zhao
Zengben Xu
Deyu Meng
NoLa
289
32
0
10 Jun 2020
Deep k-NN for Noisy Labels
International Conference on Machine Learning (ICML), 2020
Dara Bahri
Heinrich Jiang
Maya R. Gupta
NoLa
285
87
0
26 Apr 2020
Label Noise Types and Their Effects on Deep Learning
G. Algan
ilkay Ulusoy
NoLa
268
63
0
23 Mar 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Knowledge-Based Systems (KBS), 2019
G. Algan
ilkay Ulusoy
NoLa
VLM
449
368
0
11 Dec 2019
Robust Deep Graph Based Learning for Binary Classification
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2019
Minxiang Ye
V. Stanković
L. Stanković
Gene Cheung
OOD
264
13
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
448
650
0
05 Dec 2019
Noise Robust Generative Adversarial Networks
Computer Vision and Pattern Recognition (CVPR), 2019
Takuhiro Kaneko
Tatsuya Harada
NoLa
OOD
357
32
0
26 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels
Journal of Artificial Intelligence Research (JAIR), 2019
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
1.2K
913
0
31 Oct 2019
Image recognition from raw labels collected without annotators
Fatih Yilmaz
Reinhard Heckel
NoLa
324
7
0
20 Oct 2019
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
Automatic Speech Recognition & Understanding (ASRU), 2019
Adrien Dufraux
Emmanuel Vincent
Awni Y. Hannun
Armelle Brun
Matthijs Douze
181
9
0
16 Oct 2019
Noisy Batch Active Learning with Deterministic Annealing
Gaurav Gupta
Anit Kumar Sahu
Wan-Yi Lin
NoLa
207
7
0
27 Sep 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Hao Wang
Bing-Quan Liu
Chaozhuo Li
Yan Yang
Tianrui Li
NoLa
209
26
0
31 Aug 2019
NLNL: Negative Learning for Noisy Labels
IEEE International Conference on Computer Vision (ICCV), 2019
Youngdong Kim
Junho Yim
Juseung Yun
Junmo Kim
NoLa
257
336
0
19 Aug 2019
Supervised Classifiers for Audio Impairments with Noisy Labels
Interspeech (Interspeech), 2019
Chandan K. A. Reddy
Ross Cutler
J. Gehrke
NoLa
152
4
0
03 Jul 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko
Tatsuya Harada
201
3
0
06 May 2019
An Effective Label Noise Model for DNN Text Classification
North American Chapter of the Association for Computational Linguistics (NAACL), 2019
Ishan Jindal
Daniel Pressel
Brian Lester
M. Nokleby
NoLa
200
56
0
18 Mar 2019
Learning with Inadequate and Incorrect Supervision
Chen Gong
Hengmin Zhang
Zhiqiang Wang
Dacheng Tao
214
34
0
20 Feb 2019
Theoretical Guarantees of Deep Embedding Losses Under Label Noise
Nam Le
J. Odobez
NoLa
147
1
0
06 Dec 2018
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
NoLa
284
69
0
27 Nov 2018
Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels
Sabri Boughorbel
Fethi Jarray
Neethu Venugopal
Haithum Elhadi
NoLa
215
12
0
24 Nov 2018
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