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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
Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng
Xiangzeng Zhou
Liming Zhao
Dangwei Li
Hong Shang
Yun Zheng
Pan Pan
Yinghui Xu
NoLa
286
53
0
25 Aug 2020
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty
Wonyoung Shin
Jung-Woo Ha
Shengzhe Li
Yongwoo Cho
Hoyean Song
Sunyoung Kwon
NoLa
120
9
0
14 Aug 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
164
76
0
03 Aug 2020
Reliable Label Bootstrapping for Semi-Supervised Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
SSL
196
5
0
23 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
173
145
0
22 Jul 2020
Meta Soft Label Generation for Noisy Labels
International Conference on Pattern Recognition (ICPR), 2020
G. Algan
ilkay Ulusoy
NoLa
261
43
0
11 Jul 2020
Temporal Calibrated Regularization for Robust Noisy Label Learning
Dongxian Wu
Yisen Wang
Zhuobin Zheng
Shutao Xia
NoLa
180
2
0
01 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
457
673
0
30 Jun 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
International Conference on Machine Learning (ICML), 2020
Jiabo He
Hanxun Huang
Yisen Wang
Simone Romano
S. Erfani
James Bailey
NoLa
228
518
0
24 Jun 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia
Tongliang Liu
Bo Han
Nannan Wang
Biwei Huang
Haifeng Liu
Gang Niu
Dacheng Tao
Masashi Sugiyama
NoLa
214
65
0
14 Jun 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
International Conference on Machine Learning (ICML), 2020
Songhua Wu
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Nannan Wang
Haifeng Liu
Gang Niu
NoLa
158
56
0
14 Jun 2020
Generalization by Recognizing Confusion
Daniel Chiu
Franklyn Wang
S. Kominers
NoLa
57
0
0
13 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
203
126
0
12 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
Jun Shu
Qian Zhao
Zengben Xu
Deyu Meng
NoLa
216
32
0
10 Jun 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
Xinshao Wang
Yang Hua
Elyor Kodirov
David Clifton
N. Robertson
NoLa
417
66
0
07 May 2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Zezhou Cheng
Saadia Gabriel
Pankaj Bhambhani
Daniel Sheldon
Subhransu Maji
Andrew J. Laughlin
D. Winkler
163
16
0
24 Apr 2020
Unsupervised Person Re-identification via Multi-label Classification
Computer Vision and Pattern Recognition (CVPR), 2020
Dongkai Wang
Shiliang Zhang
151
401
0
20 Apr 2020
Self-Learning with Rectification Strategy for Human Parsing
Computer Vision and Pattern Recognition (CVPR), 2020
Tao Li
Zhiyuan Liang
Sanyuan Zhao
Jiahao Gong
Jianbing Shen
158
35
0
17 Apr 2020
Learning from Rules Generalizing Labeled Exemplars
International Conference on Learning Representations (ICLR), 2020
Abhijeet Awasthi
Sabyasachi Ghosh
Rasna Goyal
Sunita Sarawagi
296
91
0
13 Apr 2020
Complaint-driven Training Data Debugging for Query 2.0
Weiyuan Wu
Lampros Flokas
Eugene Wu
Jiannan Wang
202
48
0
12 Apr 2020
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
Neurocomputing (Neurocomputing), 2020
Tiancheng Lin
Yuanfan Guo
Canqian Yang
Jiancheng Yang
Yi Tian Xu
141
9
0
09 Apr 2020
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels
IEEE International Conference on Multimedia and Expo (ICME), 2020
Xianbin Lv
Dongxian Wu
Shutao Xia
NoLa
64
2
0
26 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification
European Conference on Computer Vision (ECCV), 2020
Jiaming Song
Lunjia Hu
Michael Auli
Yann N. Dauphin
Tengyu Ma
NoLa
OOD
178
13
0
24 Mar 2020
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
Ruifeng Shi
Deming Zhai
Xianming Liu
Junjun Jiang
Wen Gao
NoLa
151
9
0
17 Mar 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
European Conference on Computer Vision (ECCV), 2020
Karishma Sharma
Pinar E. Donmez
Enming Luo
Yan Liu
I. Z. Yalniz
NoLa
202
37
0
15 Mar 2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
AAAI Conference on Artificial Intelligence (AAAI), 2020
Elad Amrani
Rami Ben-Ari
Daniel Rotman
A. Bronstein
327
130
0
06 Mar 2020
No Regret Sample Selection with Noisy Labels
H. Song
N. Mitsuo
S. Uchida
D. Suehiro
NoLa
355
6
0
06 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization
Computer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
944
628
0
05 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
ObjD
NoLa
302
35
0
03 Mar 2020
Rethinking the Route Towards Weakly Supervised Object Localization
Computer Vision and Pattern Recognition (CVPR), 2020
Chen-Da Liu-Zhang
Yunhao Cao
Jianxin Wu
WSOL
239
107
0
26 Feb 2020
Self-Adaptive Training: beyond Empirical Risk Minimization
Neural Information Processing Systems (NeurIPS), 2020
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
NoLa
320
232
0
24 Feb 2020
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights
International Conference on Machine Learning (ICML), 2020
Hrayr Harutyunyan
Kyle Reing
Greg Ver Steeg
Aram Galstyan
NoLa
271
58
0
19 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
International Conference on Learning Representations (ICLR), 2020
Junnan Li
R. Socher
Guosheng Lin
NoLa
430
1,226
0
18 Feb 2020
Multi-Class Classification from Noisy-Similarity-Labeled Data
Songhua Wu
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Nannan Wang
Haifeng Liu
Gang Niu
NoLa
217
12
0
16 Feb 2020
Learning Adaptive Loss for Robust Learning with Noisy Labels
Jun Shu
Qian Zhao
Keyu Chen
Zongben Xu
Deyu Meng
NoLa
OOD
168
23
0
16 Feb 2020
Open-set learning with augmented categories by exploiting unlabelled data
E. Engelbrecht
J. D. Preez
476
0
0
04 Feb 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible
International Conference on Machine Learning (ICML), 2019
Antonin Berthon
Bo Han
Gang Niu
Tongliang Liu
Masashi Sugiyama
NoLa
332
120
0
11 Jan 2020
Towards Robust Learning with Different Label Noise Distributions
International Conference on Pattern Recognition (ICPR), 2019
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
188
26
0
18 Dec 2019
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Knowledge-Based Systems (KBS), 2019
G. Algan
ilkay Ulusoy
NoLa
VLM
318
362
0
11 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
376
618
0
05 Dec 2019
Noise Robust Generative Adversarial Networks
Computer Vision and Pattern Recognition (CVPR), 2019
Takuhiro Kaneko
Tatsuya Harada
NoLa
OOD
276
31
0
26 Nov 2019
Meta Label Correction for Noisy Label Learning
AAAI Conference on Artificial Intelligence (AAAI), 2019
Guoqing Zheng
Ahmed Hassan Awadallah
S. Dumais
NoLa
OffRL
306
224
0
10 Nov 2019
Searching to Exploit Memorization Effect in Learning from Corrupted Labels
Quanming Yao
Hansi Yang
Bo Han
Gang Niu
James T. Kwok
NoLa
246
16
0
06 Nov 2019
Addressing Ambiguity of Emotion Labels Through Meta-Learning
Takuya Fujioka
D. Bertero
Takeshi Homma
Kenji Nagamatsu
195
8
0
06 Nov 2019
Image recognition from raw labels collected without annotators
Fatih Yilmaz
Reinhard Heckel
NoLa
257
7
0
20 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling
International Conference on Learning Representations (ICLR), 2019
Philipp Kratzer
Marc Toussaint
Thi Phuong Nhung Ngo
T. Nguyen
Jim Mainprice
Thomas Brox
NoLa
199
347
0
04 Oct 2019
Distillation
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Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network
Bin Dong
Jikai Hou
Yiping Lu
Zhihua Zhang
164
43
0
02 Oct 2019
Distilling Effective Supervision from Severe Label Noise
Zizhao Zhang
Han Zhang
Sercan O. Arik
Honglak Lee
Tomas Pfister
NoLa
290
2
0
01 Oct 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
Computer Vision and Pattern Recognition (CVPR), 2019
Vishnu Suresh Lokhande
Songwong Tasneeyapant
Abhay Venkatesh
Sathya Ravi
Vikas Singh
146
30
0
12 Sep 2019
L_DMI: An Information-theoretic Noise-robust Loss Function
Yilun Xu
Peng Cao
Yuqing Kong
Yizhou Wang
NoLa
177
58
0
08 Sep 2019
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