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1803.11364
Cited By
Joint Optimization Framework for Learning with Noisy Labels
30 March 2018
Daiki Tanaka
Daiki Ikami
T. Yamasaki
Kiyoharu Aizawa
NoLa
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Papers citing
"Joint Optimization Framework for Learning with Noisy Labels"
50 / 392 papers shown
Co-matching: Combating Noisy Labels by Augmentation Anchoring
Yangdi Lu
Yang Bo
Wenbo He
NoLa
127
9
0
23 Mar 2021
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Yaoru Luo
Guole Liu
Yuanhao Guo
Ge Yang
NoLa
268
12
0
22 Mar 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
Pattern Recognition (Pattern Recogn.), 2021
Ragav Sachdeva
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
298
42
0
21 Mar 2021
Detecting Label Noise via Leave-One-Out Cross-Validation
Yu-Hang Tang
Yuanran Zhu
W. A. Jong
166
3
0
21 Mar 2021
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-Labels
IEEE Transactions on Image Processing (TIP), 2021
G. Algan
ilkay Ulusoy
NoLa
180
13
0
19 Mar 2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
IEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Hao-Chiang Shao
Hsin-Chieh Wang
Weng-Tai Su
Chia-Wen Lin
NoLa
142
6
0
13 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Computer Vision and Pattern Recognition (CVPR), 2021
Denis A. Gudovskiy
Luca Rigazio
Shun Ishizaka
Kazuki Kozuka
Sotaro Tsukizawa
NoLa
134
24
0
10 Mar 2021
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels
Daiki Tanaka
Daiki Ikami
Kiyoharu Aizawa
NoLa
92
4
0
08 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
Yayong Li
Jie Yin
Ling-Hao Chen
NoLa
189
37
0
05 Mar 2021
Augmentation Strategies for Learning with Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2021
Kento Nishi
Yi Ding
Alex Rich
Tobias Höllerer
NoLa
391
130
0
03 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels
Yi Wei
Xue Mei
Xin Liu
Pengxiang Xu
NoLa
109
3
0
01 Mar 2021
Multiplicative Reweighting for Robust Neural Network Optimization
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
Noga Bar
Tomer Koren
Raja Giryes
OOD
NoLa
726
9
0
24 Feb 2021
Open-World Semi-Supervised Learning
International Conference on Learning Representations (ICLR), 2021
Kaidi Cao
Maria Brbic
J. Leskovec
BDL
373
232
0
06 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points
International Conference on Machine Learning (ICML), 2021
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
464
153
0
04 Feb 2021
Noise-robust classification with hypergraph neural network
Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), 2021
Nguyen Trinh Vu Dang
L. Tran
Linh-Tam Tran
NoLa
124
2
0
03 Feb 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
293
31
0
21 Jan 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
AAAI Conference on Artificial Intelligence (AAAI), 2021
Qizhou Wang
Bo Han
Tongliang Liu
Gang Niu
Zhiqiang Wang
Chen Gong
NoLa
236
33
0
14 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability
Engkarat Techapanurak
Anh-Chuong Dang
Takayuki Okatani
OODD
263
4
0
07 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
IEEE Transactions on Image Processing (TIP), 2020
Yongxing Dai
Jun Liu
Yan Bai
Zekun Tong
Ling-yu Duan
305
84
0
26 Dec 2020
Identifying Training Stop Point with Noisy Labeled Data
Sree Ram Kamabattula
V. Devarajan
Babak Namazi
G. Sankaranarayanan
NoLa
207
2
0
24 Dec 2020
One for More: Selecting Generalizable Samples for Generalizable ReID Model
AAAI Conference on Artificial Intelligence (AAAI), 2020
Enwei Zhang
Xinyang Jiang
Hao Cheng
Ancong Wu
Fufu Yu
Ke Li
Xiao-Wei Guo
Feng Zheng
Weishi Zheng
Xing Sun
331
19
0
10 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI Conference on Artificial Intelligence (AAAI), 2020
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
225
142
0
10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Jianguo Huang
Lei Feng
Rongpin Wang
Bo An
NoLa
160
7
0
09 Dec 2020
A Topological Filter for Learning with Label Noise
Pengxiang Wu
Songzhu Zheng
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
292
130
0
09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
299
146
0
08 Dec 2020
KNN-enhanced Deep Learning Against Noisy Labels
Shuyu Kong
You Li
Jia Wang
Amin Rezaei
Zhengyu Ma
NoLa
150
6
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
295
37
0
08 Dec 2020
Robust Federated Learning with Noisy Labels
IEEE Intelligent Systems (IEEE Intell. Syst.), 2020
Seunghan Yang
Hyoungseob Park
Junyoung Byun
Changick Kim
FedML
NoLa
201
94
0
03 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
165
18
0
02 Dec 2020
Delving Deep into Label Smoothing
IEEE Transactions on Image Processing (TIP), 2020
Chang-Bin Zhang
Peng-Tao Jiang
Qibin Hou
Yunchao Wei
Qi Han
Zhen Li
Ming-Ming Cheng
247
267
0
25 Nov 2020
Error-Bounded Correction of Noisy Labels
International Conference on Machine Learning (ICML), 2020
Songzhu Zheng
Pengxiang Wu
A. Goswami
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
259
142
0
19 Nov 2020
Coresets for Robust Training of Neural Networks against Noisy Labels
Baharan Mirzasoleiman
Kaidi Cao
J. Leskovec
NoLa
179
34
0
15 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
381
179
0
09 Nov 2020
When Optimizing
f
f
f
-divergence is Robust with Label Noise
Jiaheng Wei
Yang Liu
352
63
0
07 Nov 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution
T. Henry
Alexandre Carré
Marvin Lerousseau
Théo Estienne
C. Robert
Nikos Paragios
Eric Deutsch
128
96
0
30 Oct 2020
Suppressing Mislabeled Data via Grouping and Self-Attention
European Conference on Computer Vision (ECCV), 2020
Xiaojiang Peng
Kai Wang
Zhaoyang Zeng
Qing Li
Jianfei Yang
Yu Qiao
109
36
0
29 Oct 2020
Learning to Infer Unseen Single-/Multi-Attribute-Object Compositions with Graph Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Hui Chen
Jingjing Jiang
Jingjing Jiang
CoGe
OCL
183
8
0
27 Oct 2020
Facial Emotion Recognition with Noisy Multi-task Annotations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Siwei Zhang
Zhiwu Huang
D. Paudel
Luc Van Gool
CVBM
275
11
0
19 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph
Jingkang Yang
Weirong Chen
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
NoLa
145
13
0
12 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision
International Conference on Machine Learning (ICML), 2020
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Enhua Wu
Chang Xu
MQ
191
62
0
10 Oct 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
International Conference on Learning Representations (ICLR), 2020
Hao Cheng
Zhaowei Zhu
Xingyu Li
Yifei Gong
Xing Sun
Yang Liu
NoLa
270
236
0
05 Oct 2020
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang
Chunyan Xu
Yap-Peng Tan
Junsong Yuan
NoLa
138
2
0
30 Sep 2020
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data
Katharina Rombach
Gabriel Michau
Olga Fink
NoLa
103
1
0
30 Sep 2020
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation
Joy Hsu
Sonia Phene
A. Mitani
Jieying Luo
N. Hammel
Jonathan Krause
Rory Sayres
NoLa
84
6
0
22 Sep 2020
Learning Soft Labels via Meta Learning
Nidhi Vyas
Shreyas Saxena
T. Voice
NoLa
233
35
0
20 Sep 2020
Weak-shot Fine-grained Classification via Similarity Transfer
Neural Information Processing Systems (NeurIPS), 2020
Junjie Chen
Li Niu
Liu Liu
Liqing Zhang
253
28
0
19 Sep 2020
Noisy Concurrent Training for Efficient Learning under Label Noise
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
F. Sarfraz
Elahe Arani
Bahram Zonooz
NoLa
106
29
0
17 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
International Conference on Learning Representations (ICLR), 2020
Junnan Li
Caiming Xiong
Guosheng Lin
214
112
0
17 Sep 2020
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions
International Conference on Pattern Recognition (ICPR), 2020
Wei Hu
QiHao Zhao
Yangyu Huang
Fan Zhang
169
9
0
14 Sep 2020
Webly Supervised Image Classification with Self-Contained Confidence
European Conference on Computer Vision (ECCV), 2020
Jingkang Yang
Xue Jiang
Weirong Chen
Xiaopeng Yan
Huabin Zheng
Ping Luo
Wayne Zhang
119
16
0
27 Aug 2020
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