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2108.02032
Cited By
Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators
4 August 2021
Cosmin Octavian Pene
Amirmasoud Ghiassi
Taraneh Younesian
Robert Birke
Lydia Y. Chen
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Papers citing
"Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators"
29 / 29 papers shown
Title
Towards the Memorization Effect of Neural Networks in Adversarial Training
Han Xu
Xiaorui Liu
Wentao Wang
Wenbiao Ding
Zhongqin Wu
Zitao Liu
Anil K. Jain
Jiliang Tang
TDI
AAML
102
7
0
09 Jun 2021
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
284
701
0
22 Apr 2021
Evaluating Multi-label Classifiers with Noisy Labels
Wenting Zhao
Carla P. Gomes
NoLa
97
14
0
16 Feb 2021
General Multi-label Image Classification with Transformers
Jack Lanchantin
Tianlu Wang
Vicente Ordonez
Yanjun Qi
ViT
58
266
0
27 Nov 2020
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
80
539
0
29 Sep 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman
Chiyuan Zhang
TDI
140
464
0
09 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
101
985
0
16 Jul 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Junwen Bai
Shufeng Kong
Carla P. Gomes
DRL
43
53
0
12 Jul 2020
TResNet: High Performance GPU-Dedicated Architecture
T. Ridnik
Hussam Lawen
Asaf Noy
Emanuel Ben-Baruch
Gilad Sharir
Itamar Friedman
OOD
70
213
0
30 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
ObjD
NoLa
129
31
0
03 Mar 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
G. Algan
ilkay Ulusoy
NoLa
VLM
75
330
0
11 Dec 2019
Multi-Label Classification with Label Graph Superimposing
Ya Wang
Dongliang He
Fu Li
Xiang Long
Zhichao Zhou
Jinwen Ma
Shilei Wen
72
168
0
21 Nov 2019
Does Learning Require Memorization? A Short Tale about a Long Tail
Vitaly Feldman
TDI
123
494
0
12 Jun 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
65
386
0
13 May 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
90
1,001
0
07 Apr 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
Ryutaro Tanno
A. Saeedi
S. Sankaranarayanan
Daniel C. Alexander
N. Silberman
NoLa
80
231
0
10 Feb 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee
Sukmin Yun
Kibok Lee
Honglak Lee
Yue Liu
Jinwoo Shin
NoLa
82
139
0
31 Jan 2019
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu
Bo Han
Jiangchao Yao
Gang Niu
Ivor W. Tsang
Masashi Sugiyama
NoLa
58
783
0
14 Jan 2019
Masking: A New Perspective of Noisy Supervision
Bo Han
Jiangchao Yao
Gang Niu
Mingyuan Zhou
Ivor Tsang
Ya Zhang
Masashi Sugiyama
NoLa
68
255
0
21 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
110
2,067
0
18 Apr 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
Dan Hendrycks
Mantas Mazeika
Duncan Wilson
Kevin Gimpel
NoLa
129
554
0
14 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
98
1,452
0
14 Dec 2017
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao
Jiajie Wang
Ivor Tsang
Ya Zhang
Jun-wei Sun
Chengqi Zhang
Rui Zhang
NoLa
75
121
0
02 Nov 2017
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
120
1,816
0
16 Jun 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
129
479
0
06 Jan 2017
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
336
4,626
0
10 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
Giorgio Patrini
A. Rozza
A. Menon
Richard Nock
Zhuang Li
NoLa
90
1,452
0
13 Sep 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
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